<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>Leveraging BWIM System Traffic Data for Long-Term Structural Health Monitoring of Highway Bridges</title>
      <link>https://trid.trb.org/View/2675162</link>
      <description><![CDATA[This study investigates utilizing raw strain measurements from Bridge Weigh-In-Motion (BWIM) systems for long-term structural health monitoring of highway bridges. Using one year of continuous traffic data collected from an instrumented bridge on the Trans-Canada Highway in New Brunswick, the research demonstrates that select classes of vehicles can serve as consistent probes of bridge response, even without prior knowledge of vehicle weights.  Local deck strain signals were processed to detect vehicle presence and axle configurations using a combination of thresholding, peak detection, and a supervised Support Vector Machine (SVM) classifier. Initial analyses focused on 7-axle trucks; however, due to observed variability in their strain responses, a Leveraging BWIM System Traffic Data for Long-Term Structural Health Monitoring of Highway Bridges more refined selection of log trucks—a specialized vehicle class with highly uniform configurations—was undertaken. The results showed that log trucks produced strain responses with significantly lower variability, confirming the critical role of meticulous vehicle selection in achieving reliable monitoring. Temperature effects were also evaluated by correlating monthly average strain responses with ambient temperature data. A moderate and statistically significant positive correlation was observed, highlighting the necessity of accounting for environmental factors when interpreting structural response trends over time.  Overall, the findings suggest that BWIM installations, traditionally used for traffic weight estimation, can be repurposed for efficient, continuous bridge monitoring. Strategic selection of vehicle types and environmental correction procedures are essential for maximizing the reliability of such monitoring frameworks. This approach offers a scalable, low-cost alternative to conventional Structural Health Monitoring (SHM) systems through utilizing existing BWIM systems.]]></description>
      <pubDate>Thu, 12 Mar 2026 08:52:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2675162</guid>
    </item>
    <item>
      <title>Robert Street Bridge Rehabilitation – Digital Twin and AI</title>
      <link>https://trid.trb.org/View/2470495</link>
      <description><![CDATA[Owners and operators who are responsible for managing, inspecting, and repairing bridge infrastructure are currently faced with an increasingly difficult task. Bridge inspection can be a tedious, often dangerous, and time-consuming effort. Inspectors need to meticulously survey every inch of the asset, often in high-traffic areas or in hard-to-reach environments. Regardless of these challenges, bridge inspection is a central part of public safety and resilient infrastructure. In some cases, such as the Robert Street Bridge located in St-Paul Minnesota, it even plays a crucial role in maintaining the city’s historical value by preserving its architectural heritage.  The rapid increase of structures that are due for repairs or replacement combined with an expanding network and labor force challenges requires an innovative solution from the industry. It is imperative that the owner/operators and the consultants they rely on leverage the latest technology to provide more accurate and consistent data in less time.  As we increase our ability to collect and analyze large amounts of data using unmanned aerial systems (UAS), reality models, artificial intelligence (AI), and Internet of Things (IoT) sensing to create digital twins, we are revolutionizing the way bridges are inspected and managed. Building reality models in a collaborative cloud-based platform introduces the new workflow of pre-inspection, on-site inspection and report delivery which allows:  Better asset assessment even before starting the inspection job Better planning of resources and equipment for the inspection job Increased worker efficiency Reduced on-site time Increased safety for all workers and travelling public Data-rich delivery enhanced with insights to stakeholders Better decision-making based on more data than previously available. Opportunity for quality control review of the field inspection.  This presentation covers how Bentley Systems and Collins Engineers collaborated on the Robert Street Bridge Rehabilitation project using UAS, reality data models, AI, and IoT. These technologies enabled a new and improved inspection workflow, to preserve the century-old architectural marvel that is this bridge. We will cover how leveraging the digital twin, we were able to attain:  30% reduction in inspection hours which is over $90,000 USD in savings. 20% estimated future construction savings which could translate to up to $15M in savings. 20% fuel reduction. 10% reduction in material production during future construction. 1000x increase in the amount of quantifiable data available to decision-makers.]]></description>
      <pubDate>Wed, 08 Jan 2025 13:52:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2470495</guid>
    </item>
    <item>
      <title>Optimizing Municipal Structures Inspections</title>
      <link>https://trid.trb.org/View/2470494</link>
      <description><![CDATA[The majority of Ontario’s municipal bridges and culverts built in the 1950s and 1960s are quickly approaching the end of their design life. Without the necessary funding, the declining condition of these assets can result in structures with compromised safety and increased maintenance and rehabilitation costs. Municipalities of all sizes are affected by this underinvestment and are required to do more with less to address a $19.1B deficit [1]. In 1985, Ontario emerged as a leader in bridge safety with the introduction of the Ontario Structure Inspection Manual (OSIM), which standardized detailed visual inspections for all structures over three (3) meters in length. The creation of O.Reg. 104/97 Standards for Bridges that states the structural integrity, safety and condition of every bridge shall be determined through the performance of at least one (1) inspection every second calendar year under the direction of a professional engineer and in accordance with OSIM. The paper focuses on advancements in international best practices and decades of insight and knowledge gained through evaluating thousands of structures that can be used to optimize the OSIM process. Key opportunities for improvement include the following:  • Changing the OSIM cycle time inspection frequency based on the structure's configuration, age and condition.  • How the structures are evaluated from cycle to cycle, limiting bias based on a priori knowledge gained from previous inspections.  • Optimizing inspection frequency to focus on elements that have the greatest impact on the Bridge Condition Index (BCI) and overall bridge safety.  • Identifying the factors that give greater insight into the structure's performance and safety.  • Flagging bridge configurations and elements with known inherent vulnerabilities not necessarily connected to the bridge or element condition.  • Modernizing the methods of recording field data to better facilitate data maintenance and post inspection analysis.  • Opportunities for improvement identified in the Ontario Auditor General’s 2021 report.  If adopted in a future OSIM edition, this effort would reform the way OSIM inspections are carried out, reestablish Ontario as a leader in the sector, and provide greater detail and clarity on the condition and safety of structures. This would allow for better asset management planning and safety improvements, saving millions of dollars.]]></description>
      <pubDate>Wed, 08 Jan 2025 13:52:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2470494</guid>
    </item>
    <item>
      <title>Performance-Based Decision Making for Asset Management: Lessons Learned and Practitioner Toolkit</title>
      <link>https://trid.trb.org/View/2071708</link>
      <description><![CDATA[Governments, including transportation agencies, are increasingly adopting performance-based approaches to management and decision making to help achieve desired outcomes, and to encourage fiscal responsibility, accountability and transparency in governance.  As financial resources become more limited and governments focus on obtaining value for money, transportation agencies are increasingly required to make investments using cross-asset trade-offs and optimization methods to improve transparency and credibility using a performance-based approach to decision making.  Despite recent progress, there is still much to learn about performance-based decision making and the best techniques to ensure success. Many public transportation agencies seek practical examples and tools that could be deployed to advance their asset management practices, improve the transparency of decision making, and optimize network investments. This report helps close that knowledge gap by synthesizing lessons learned with respect to performance-based decision making, and by developing a toolkit that can help practitioners identify tools to implement for different needs within the asset management process.]]></description>
      <pubDate>Tue, 29 Nov 2022 14:14:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2071708</guid>
    </item>
    <item>
      <title>Prestressed concrete bridges :condition assessment and future challenges : a state-of-art report</title>
      <link>https://trid.trb.org/View/1706533</link>
      <description><![CDATA[Prestressed concrete bridges are susceptible to deterioration over time and it is vital to continually assess them in order to maintain their structural integrity and to prolong their service life. Important factors are corrosion of prestressing strands, wires and bars and concrete deterioration. In recent years, there has been an increased interest in monitoring and non-destructive testing to assess the state of bridges. It is essential to understand the behavior in ultimate and serviceability limit states and the level of safety, reliability and robustness. Calibration of condition and life cycle assessments are discussed by help of full-scale tests of bridges that are planned to be demolished. Repair and Strengthening methods are reviewed. Needs for Maintenance Strategies are outlined. Important factors are corrosion of prestressing strands, wires and bars, remaining prestressing forces and concrete deterioration.]]></description>
      <pubDate>Thu, 14 May 2020 09:42:50 GMT</pubDate>
      <guid>https://trid.trb.org/View/1706533</guid>
    </item>
    <item>
      <title>Innovative Strain Based Bridge Weigh-In-Motion System for Truss Bridges</title>
      <link>https://trid.trb.org/View/1682689</link>
      <description><![CDATA[Efficient management of bridge structures requires a thorough understanding of the traffic using a bridge. In this paper an innovative static strain-based remote Bridge-Weigh-In-Motion (BWIM) system is deployed on a truss bridge in rural New Brunswick, Canada. The analysis methods are briefly outlined, and the system is successfully validated with a truck of known weight resulting in an average error of 7% in gross vehicle weight estimation. It is shown how the BWIM system can be used in estimating the dynamic amplification factors use in the analysis and design of bridges.]]></description>
      <pubDate>Tue, 04 Feb 2020 14:59:20 GMT</pubDate>
      <guid>https://trid.trb.org/View/1682689</guid>
    </item>
    <item>
      <title>Building Information Modeling (BIM) im Brückenbau </title>
      <link>https://trid.trb.org/View/1646736</link>
      <description><![CDATA[Der „Stufenplan Digitales Planen und Bauen“ des Bundesministeriums für Verkehr und Digitale Infrastruktur (BMVI) sieht die standardmäßige Anwendung der Arbeitsmethodik Building Information Modeling (BIM) im gesamten Verkehrsinfrastrukturbau bei neu zu planenden Projekten ab Ende 2020 vor. Ziel dieses Projektes ist die Entwicklung und Ausarbeitung eines praxisgerechten Konzepts zur Umsetzung der BIM-Methodik in der Betriebsphase. Des Weiteren soll im Rahmen des Forschungsprojektes untersucht werden, wie das Erhaltungsmanagement auf Basis digitaler hochwertiger Daten aussehen kann, welche Chancen sich daraus ergeben und welche weiteren Entwicklungen für dieses systematisierte Erhaltungsmanagement notwendig sind. ABSTRACT IN ENGLISH: The “Road map for digital design and construction” of the Federal Ministry of Transport and Digital Infrastructure (BMVI) has established Building Information Modeling (BIM) as the new standard application for newly planned transport infrastructure projects by 2020. The aim of this project is the development and elaboration of a practical concept for the implementation of the BIM methodology in the operational phase. Furthermore, the research project will investigate how maintenance management based on digital high-quality data can look like, what opportunities it offers and what further developments are necessary for this systematic maintenance management.]]></description>
      <pubDate>Wed, 28 Aug 2019 02:55:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/1646736</guid>
    </item>
    <item>
      <title>OSIMAB </title>
      <link>https://trid.trb.org/View/1508202</link>
      <description><![CDATA[Im Rahmen einer zunehmenden Digitalisierung stehen bereits heute umfangreiche Daten zur Verfuegung, die im Rahmen neuer und innovativer Ansaetze fuer ein praediktives Lebenszyklusmanagement von Strassenverkehrsinfrastrukturen Verwendung finden koennen. Fuer Brueckenbauwerke koennen zusaetzliche Informationen mittels dauerhafter Strukturueberwachungssysteme gewonnen werden. Insgesamt ermoeglicht dies einen innovativen Ansatz, um Strukturdefizite und Gefahren sowie deren zeitliche Entwicklung fruehzeitig zu erkennen und – wenn noetig – Gegenmassnahmen rechtzeitig zu treffen. Mit dem innovativen Ansatz von OSIMAB wird ein ganzheitliches Konzept fuer die Ueberwachung und Zustandsbewertung von Strassenbruecken verfolgt. Neben der Erkennung und Bewertung des aktuellen Zustands sollen auch Prognosen fuer die weitere Entwicklung aus den am Bauwerk gewonnenen Daten und ihrer zeitlichen Veraenderung in Verbindung mit Vorhersagemodellen erstellt werden. Durch die direkt anschliessende Bewertung potenzieller Risiken und moeglicher Massnahmen zur Aufrechterhaltung und Wiederherstellung der vorgesehenen Zielzuverlaessigkeit, wird mit OSIMAB eine Plattform geschaffen, die ein fruehzeitiges Einleiten von Massnahmen zur Sicherstellung der Verfuegbarkeit von Bauwerken erstmals durch einen ganzheitlichen Ansatz ermoeglicht. So koennen Einschraenkungen des Verkehrsflusses minimiert und erforderliche verkehrliche oder bauliche Massnahmen unmittelbar oder mit ausreichender Vorlaufzeit geplant und umgesetzt werden. ABSTRACT IN ENGLISH: As a consequence of increasing digitalisation, extensive data are available even now which may be used for the predictive life cycle management of road traffic infrastructures using new and innovative approaches. Additional information can be obtained for bridge structures through durable structure monitoring systems. All in all, this permits an innovative approach to recognise structural shortcomings and risks and their temporal development at an early stage and to take any counter-measures which may be necessary in good time. With the innovative approach of OSIMAB, a holistic concept is pursued to monitor and assess the condition of road bridges. In addition to recognising and evaluating the current condition, predictions are to be made for future developments from the data obtained at the structure and their temporal change in connection with prediction models. Through the directly ensuing assessment of potential risks and possible measures to maintain and restore the planned target reliability, a platform is created with OSIMAB which permits an early initiation of measures to safeguard the availability of structures using a holistic approach for the first time. In this way, restrictions to the flow of traffic can be minimised and the requisite traffic and structural measures planned and implemented directly or with an adequate run-up time. ]]></description>
      <pubDate>Tue, 22 May 2018 03:54:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/1508202</guid>
    </item>
    <item>
      <title>Life cycle assessment of bridges, model development and case studies</title>
      <link>https://trid.trb.org/View/1463139</link>
      <description><![CDATA[In recent decades, the environmental issues from the construction sector have attracted increasing attention from both the public and authorities. Notably, the bridge construction is responsible for considerable amount of energy and raw material consumptions. However, the current bridges are still mainly designed from the economic, technical, and safety perspective, while considerations of their environmental performance are rarely integrated into the decision making process. Life Cycle Assessment (LCA) is a comprehensive, standardized and internationally recognized approach for quantifying all emissions, resource consumption and related environmental and health impacts linked to a service, asset or product. LCA has the potential to provide reliable environmental profiles of the bridges, and thus help the decision-makers to select the most environmentally optimal designs. However, due to the complexity of the environmental problems and the diversity of bridge structures, robust environmental evaluation of bridges is far from straightforward. The LCA has rarely been studied on bridges till now. The overall aim of this research is to implement LCA on bridge, thus eventually integrate it into the decision-making process to mitigate the environmental burden at an early stage. Specific objectives are to: i) provide up-to-date knowledge to practitioners; ii) identify associated obstacles and clarify key operational issues; iii) establish a holistic framework and develop computational tool for bridge LCA; and iv) explore the feasibility of combining LCA with life cycle cost (LCC). The developed tool (called GreenBridge) enables the simultaneous comparison and analysis of 10 feasible bridges at any detail level, and the framework has been utilized on real cases in Sweden. The studied bridge types include: railway bridge with ballast or fix-slab track, road bridges of steel box-girder composite bridge, steel I-girder composite bridge, post tensioned concrete box-girder bridge, balanced cantilever concrete box-girder bridge, steel-soil composite bridge and concrete slab-frame bridge. The assessments are detailed from cradle to grave phases, covering thousands of types of substances in the output, diverse mid-point environmental indicators, the Cumulative Energy Demand (CED) and monetary value weighting. Some analyses also investigated the impact from on-site construction scenarios, which have been overlooked in the current state-of-the-art. The study identifies the major structural and life-cycle scenario contributors to the selected impact categories, and reveals the effects of varying the monetary weighting system, the steel recycling rate and the material types. The result shows that the environmental performance can be highly influenced by the choice of bridge design. The optimal solution is found to be governed by several variables. The analyses also imply that the selected indicators, structural components and life-cycle scenarios must be clearly specified to be applicable in a transparent procurement. This work may provide important references for evaluating similar bridge cases, and identification of the main sources of environmental burden. The outcome of this research may serve as recommendation for decision-makers to select the most LCA-feasible proposal and minimize environmental burdens.]]></description>
      <pubDate>Thu, 30 Mar 2017 12:16:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/1463139</guid>
    </item>
    <item>
      <title>Bridge Health Index: Study of Element Condition States and Importance Weights</title>
      <link>https://trid.trb.org/View/1439631</link>
      <description><![CDATA[The AASHTO Pontis bridge management system has been used to support network-level and project-level decision making on the condition and functional obsolescence of bridges. State departments of transportation often develop bridge inspection data collection methods, deterioration models, cost models, and other preservation analysis capabilities to comply with the requirements of the federal Government Accounting Standards Board. The bridge health index (BHI) in the Pontis bridge management system has been used in the evaluation of the condition of bridges and elements at the project and network levels. This paper investigates three issues in the computation of the BHI: the effects of using linear and nonlinear scales for the condition state weights when computing the element health index (EHI); the application of amplification weights to EHI values to emphasize bridge elements in bad condition; and the development of element weights based on element replacement costs, element long-term costs, element vulnerability to hazard risks, and a combination of these measures. Historical condition data from element-based inspection were used to evaluate these effects at the network level.]]></description>
      <pubDate>Thu, 29 Dec 2016 15:53:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/1439631</guid>
    </item>
    <item>
      <title>LCC applications for bridges and integration with BMS</title>
      <link>https://trid.trb.org/View/1265458</link>
      <description><![CDATA[Bridges are vital links in many transport networks and represent a big capital investment for both governments and taxpayers. They have to be managed in a way that ensures society's needs are optimally met. In many countries, bridges are mainly managed using bridge management systems (BMSs). Although many BMSs contain some forms of life-cycle costing (LCC), the use of LCC in bridge engineering is scarce. LCC in many BMSs has mainly been applied within the bridge operation phase, even though it has several useful applications within the bridge entire life, from cradle to grave. This licentiate thesis discusses the need of a BMS with integrated comprehensive LCC tools that can assist decision-makers at all levels and within all phases in selecting the most cost-effective alternative from an array of applicable alternatives. The thesis introduces the Swedish Bridge and Tunnel Management System (BaTMan). Acomprehensive integrated LCC implementation scheme is illustrated, taking into account the bridge investment and management process in Sweden. The basic LCC analytical tools as well as other helpful LCC techniques are addressed. Detailed case studies for real bridges at different investment phases are presented to demonstrate the recent improvement of BaTMan practically in the LCC integration. Cost records for 2,508 bridges extracted from BaTMan inventory data are used as input data in the presented case studies. Considering the same records, the average real and anticipated initial costs of different bridge types in Sweden will schematically be presented. The thesis introduces a bridge LCC program developed over this research named "BaTMan-LCC". The reason for which this program was developed is to combine all possible LCC applications for bridges in one tool and facilitate its implementation. The sensitivity analysis as well as the LCC saving potential highlighted in the presented case studies emphasizes the feasibility and the possibility of developing BaTMan to accommodate the applications of BaTMan-LCC.]]></description>
      <pubDate>Thu, 17 Oct 2013 10:42:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/1265458</guid>
    </item>
    <item>
      <title>Heritage Aspects of Bridge Engineering</title>
      <link>https://trid.trb.org/View/1249470</link>
      <description><![CDATA[Century-old bridges may seem functionally obsolete, but their historical relevance should not be lost on the professionals managing these wonderful structures. Two components of heritage are of interest to the London, Ontario engineers who maintain these structures: their purpose, place in time and local relevance; and, their technical engineering heritage reflected by patents and design methods of the day. London's early steel and wrought iron truss bridges are being considered for preservation, enhancement and a continued life. Their future is being assessed with a heritage component built into standard bridge management methods: infrastructure lifecycle planning; expansion and capacity growth planning; environmental assessment studies; and, risk assessment. Bridge managers and engineers have approached the remnants of London's Victorian era of bridge construction in a pragmatic way, taking advantage of heritage documentation and local community input to provide context for design objectives. Consequently, unique features have emerged that transform the timeworn into the revitalized. The project approaches, design features and outcomes are quite varied in four recent London examples. London's achievements on older bridges have been recognized with an award from the Architectural Conservancy (London Regional Branch) and the Heritage London Foundation for its "outstanding contribution made to the preservation of London's built heritage." For the covering abstract of this conference see ITRD record number 201211RT334E.]]></description>
      <pubDate>Wed, 01 May 2013 13:20:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/1249470</guid>
    </item>
    <item>
      <title>The German BMS as a decision tool for sustainablemaintenance strategies</title>
      <link>https://trid.trb.org/View/1240116</link>
      <description><![CDATA[Due to the increasing globalization, the traffic grows in the world and steadily in Europe. This also means that the existing infrastructure is increasingly under pressure and exposed that with increasing age. The Federal Highway Research Institute has carried out together with the Federal Ministry of Transport, Building and Urban Development (BMV at that time), and highway authorities of the federal states, a bridge management system (BMS) based on the information from the regularly bridge inspection according to DIN 1076. This bottom-up-approach makes it possible, with the help of extensive catalogues and behavioural models, to generate different measures and combinations of measures over a determined period at a bridge and to calculate costs. Besides the calculation of direct construction costs, the German BMS considers also the impact on traffic and includes the results in the evaluation of strategies. Because of this, important information for the sustainability aspects of "ecology", "economy" and social impact" are available within this BMS.]]></description>
      <pubDate>Mon, 04 Feb 2013 14:34:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/1240116</guid>
    </item>
    <item>
      <title>Traffic and loading data for the highway and bridge management</title>
      <link>https://trid.trb.org/View/1116660</link>
      <description><![CDATA[The paper provides information on multi-purpose applications of automatic WIM (weigh in motion) stations for overloading control, traffic data collection and the following evaluations, operated in various remote control modes. An example shows specific methods of pre-selection of overloaded vehicles, online traffic data collection and automatic statistic evaluations. The WIM system based on the modern quartz sensor technology combined with new data logger and video systems. The WIM data are used for a wide variety of applications depending on the requirements of the road authorities or user groups (police, traffic engineers, road designers). The system for the highway, road and bridge management in general is designed for management of any data, mostly in a sphere of telematic and traffic infrastructure. Basic criteria and a recognition sign for "DATA" are a type and specification of a "station", where data are obtained. Currently a station type WIM is implemented in ATOL (all traffic on-line product for dynamic weighing of vehicles. In addition an implementation of a traffic counting, vehicle license plate reading and section speed measurement stations is prepared to measure speed for enforcement, register license plates and to categorize vehicles, which is also part of assortment. Generally, any type of station which gathers real data and allows remote management can be implemented in ATOL system. This ensures an access to data exactly according to customer wishes and in accordance with his trade policy of data mediation.]]></description>
      <pubDate>Thu, 15 Sep 2011 12:46:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/1116660</guid>
    </item>
    <item>
      <title>Systematic Decision Making Processes Associated with Maintenance and Reconstruction of Brigdes</title>
      <link>https://trid.trb.org/View/1104471</link>
      <description><![CDATA[The book was prepared in the work package 2: Structural Assessment and Monitoring of European project ARCHES: Assessment and Rehabilitation of Central European Highway Structures. The main goal of the book is to collect information about decision making processes associated with the maintenance and reconstruction of bridges and to prepare a recommendation. The recommendation was prepared on the basis of collected information and it is concentrated on New Member States (NMS) and Central and Eastern European Countries (CEEC). The book is divided into five main parts: -description of the basic structure of the bridge management system - BMS (chapter 2), -literature review of research reports and conference papers (chapter 3.1 and 3.2), -national reports (chapter 3.3), -questionnaire survey (chapter 3.4), -recommendation (chapter 4).]]></description>
      <pubDate>Tue, 14 Jun 2011 10:14:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/1104471</guid>
    </item>
  </channel>
</rss>