SHM-based F-AHP bridge rating system with application to Tsing Ma Bridge

2011 ◽  
Vol 5 (4) ◽  
pp. 465-478 ◽  
Author(s):  
Qi Li ◽  
You-lin Xu ◽  
Yue Zheng ◽  
An-xin Guo ◽  
Kai-yuen Wong ◽  
...  
Keyword(s):  
Rating System ◽  
Tsing Ma Bridge ◽  
Bridge Rating

scholarly journals Engineering prediction model for bridge rating system.

1987 ◽  
pp. 175-184 ◽  
Author(s):  
Akira NISHIMURA ◽  
Manabu FUJII ◽  
Ayaho MIYAMOTO ◽  
Takahiro TOMITA
Keyword(s):  
Prediction Model ◽  
Rating System ◽  
Bridge Rating

Probabilistic Modeling of Single and Concurrent Truckloads on Bridges

2017 ◽  
Vol 2609 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Donald C. Watson ◽  
Matthew Crim ◽  
Kurtis R. Gurley ◽  
Scott S. Washburn
Keyword(s):  
Minimum Weight ◽  
Probabilistic Modeling ◽  
Rating System ◽  
Maintenance Planning ◽  
Modeling Approach ◽  
Heavy Trucks ◽  
Bridge Maintenance ◽  
Weigh In Motion ◽  
Probabilistic Loading ◽  
Bridge Rating

The maintenance of bridges and the evolution of an appropriate bridge rating system require the consideration of loads from heavy trucks. These loads can arise from a single overweight truck or multiple trucks simultaneously present, or concurrent, on a bridge. This paper presents a probabilistic modeling approach to assess the frequency and likelihood of observing various bridge loads caused by single and concurrent trucks. The approach used weigh-in-motion (WIM) data collected at or near bridges of interest to identify single and concurrent trucks and their Corresponding loads. The modeling approach was applied to bridges near three WIM stations in Florida. Results showed that in any given month, there was a 100% probability of observing at least one single or concurrent truckload that exceeded twice the minimum weight of a single overweight truck (i.e., exceeded 711,715 N or 160,000 lb). In addition, the probability of observing extreme truckloads was significantly higher when all trucks were considered, as opposed to only overweight trucks. The modeling approach can easily be adapted to the goals of the study and to any region where WIM data are available at or near the bridge(s) of interest. Results generated from the modeling approach provide probabilistic loading input for bridge maintenance planning and truck permitting policy.

scholarly journals Developing green bridge rating system using Simos’ procedure

HBRC Journal ◽  
2014 ◽  
Vol 10 (2) ◽  
pp. 176-182 ◽  
Author(s):  
Mohamed Marzouk ◽  
Ahmed Nouh ◽  
Moheeb El-Said
Keyword(s):  
Rating System ◽  
Green Bridge ◽  
Bridge Rating

Modal Logic to Evaluate a Knowledge-Based Bridge Rating System

1998 ◽  
Vol 13 (4) ◽  
pp. 227-236 ◽  
Author(s):  
Moriyoshi Kushida ◽  
Ayaho Miyamoto
Keyword(s):  
Modal Logic ◽  
Rating System ◽  
Knowledge Based ◽  
Bridge Rating

404. Characterization of Physiological Workload Using New Rating System of Carpentry Tasks

1999 ◽  
Author(s):  
K. Bostic ◽  
Y. Li ◽  
G. Lemasters ◽  
A. Bhattacharya
Keyword(s):  
Rating System
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