Bridge management for the 21st century
01 Jan 2000-Transportation Research Record (Transportation Research Board of the National Academies)-Vol. 1696, Iss: 1696, pp 197-203
TL;DR: The bridge health index (HI) as discussed by the authors is an improved and more comprehensive numerical rating system that uses the element inspection data to determine the remaining asset value of a bridge or network of bridges.
Abstract: Bridge management has been a subject of intense interest and development for the past 10 years. In support of improved bridge management, FHWA funded the development of the Pontis bridge computer program, which is now in use by approximately 40 of the 50 states. In addition, many new guide specifications have been produced to assist bridge managers in their efforts to better manage the nation's aging bridge inventory. The AASHTO Subcommittee on Bridges and Structures has taken the lead along with FHWA in implementing the improved bridge management systems. California and a few other states have been critical of the current ranking system for bridge maintenance and have been working to develop an improved performance measure. The bridge health index (HI), an improved and more comprehensive numerical rating system that uses the element inspection data to determine the remaining asset value of a bridge or network of bridges, is discussed. The HI is more consistent with the element-level evaluation data colle...
Citations
More filters
01 Jan 2013
TL;DR: In this article, the authors present a list of publications and a table of contents for each of the following categories: ACKNOWLEDGEMENTs, TABLES, TABLE OF CONTENTS, and FIGURES.
Abstract: i ACKNOWLEDGEMENTS iii LIST OF PUBLICATIONS iv TABLE OF CONTENTS v LIST OF FIGURES xi LIST OF TABLES xiii
7 citations
21 Jul 2003
TL;DR: It is shown that recent progress in stochastic modeling and optimization in combination with advanced computer systems has now made it possible to improve the design and the maintenance strategies for infrastructure systems.
Abstract: In this paper it is shown that recent progress in stochastic modeling and optimization in combination with advanced computer systems has now made it possible to improve the design and the maintenance strategies for infrastructure systems The paper concentrates on highway networks and single large bridges United States has perhaps the largest highway networks in the world with more than 6 million kilometers of roadway and more than 05 million highway bridges; see [2] About 40% of these bridges are considered deficient and more than $50 billion is estimated needed to correct the deficiencies; see [12] The percentage of substandard bridges deemed to require urgent actions in other countries such as Prance (15%) and UK (20%) is also high; see [3]
6 citations
Cites background from "Bridge management for the 21st cent..."
...About 40% of these bridges are considered deficient and more than $50 billion is estimated needed to correct the deficiencies; see [ 12 ]....
[...]
01 Apr 2019
TL;DR: The research group in Chung Yuan Christian University uses the inspection results and develops a completely new control method “Thrust Vectoring Control” to allow the vehicle to have translation without any attitude change, which leads to significant improvement of captured image qualities, thus more useful for visual inspection.
Abstract: The aging infrastructure is the global problem, thus inspection become very important. With introduction of the multi-rotor many research and inspection organization has started to adapt such vehicle to assist the inspection works. However, the state of the art technology is mostly visual inspection only, thus the image stabilization and control method is important. The research group in Chung Yuan Christian University use the inspection results and instead of design camera gimbal to image stabilization, the team developed a completely new control method “Thrust Vectoring Control” to allow the vehicle to have translation without any attitude change, which leads to significant improvement of captured image qualities, thus more useful for visual inspection.
6 citations
TL;DR: An artificial-intelligence-based approach was presented to self-updated parameters of the bridge deterioration model and the results showed that it is an accurate, effective, and satisfactory approach to deal with the problem of the parameter updating without manual intervention.
Abstract: The deterministic bridge deterioration model updating problem is well established in bridge management, while the traditional methods and approaches for this problem require manual intervention. An artificial-intelligence-based approach was presented to self-updated parameters of the bridge deterioration model in this paper. When new information and data are collected, a posterior distribution was constructed to describe the integrated result of historical information and the new gained information according to Bayesian theorem, which was used to update model parameters. This AI-based approach is applied to the case of updating parameters of bridge deterioration model, which is the data collected from bridges of 12 districts in Shanghai from 2004 to 2013, and the results showed that it is an accurate, effective, and satisfactory approach to deal with the problem of the parameter updating without manual intervention.
6 citations
4 citations