An improved inspection process and machine-learning-assisted bridge condition prediction model
Bridges have a special place in transportation infrastructures and road networks due to their
direct relationship with other places. These structures have the purpose of maintaining the …
direct relationship with other places. These structures have the purpose of maintaining the …
Evaluating deterioration of tunnels using computational machine learning algorithms
Tunnels are an integrated part of the transportation infrastructure. Structural evaluation and
inspection of tunnels are vital tasks to assess the deterioration of tunnels and maintain their …
inspection of tunnels are vital tasks to assess the deterioration of tunnels and maintain their …
Structural damage levels of bridges in vehicular collision fires: Predictions using an artificial neural network (ANN) model
Fire poses a major risk to the structural integrity of a bridge or progressively to the bridge's
failure. This study uses an Artificial Neural Network (ANN) to investigate the determining …
failure. This study uses an Artificial Neural Network (ANN) to investigate the determining …
Performance degradation model for concrete deck of bridge using pseudo-LSTM
The purpose of a bridge maintenance strategy is to make effective decisions by evaluating
current performance and predicting future conditions of the bridge. The social cost because …
current performance and predicting future conditions of the bridge. The social cost because …
[HTML][HTML] Quantitative Evaluation of Reinforced Concrete Slab Bridges Using a Novel Health Index and LSTM-Based Deterioration Models
The Health Index (HI) serves as an essential tool for assessing the structural and functional
condition of bridges, calculated based on the condition of structural components and the …
condition of bridges, calculated based on the condition of structural components and the …
Development of data-based hierarchical learning model for predicting condition rating of bridge members over time
Y Choi, J Kong - KSCE Journal of Civil Engineering, 2023 - Springer
Bridge maintenance strategy is implemented to ensure that effective decisions are made
based on the evaluation of the current performance and predicted future conditions of a …
based on the evaluation of the current performance and predicted future conditions of a …
Preliminary fast assessment of bridge risk by neural network
L Principi, M Morici, A Natali, W Salvatore… - International Journal of …, 2024 - Elsevier
The conservation, maintenance, and monitoring of bridges have received growing attention
worldwide over the past decade. Recent approaches to this problem highlight the lack of …
worldwide over the past decade. Recent approaches to this problem highlight the lack of …
[PDF][PDF] 桥梁退化模型及养护时机研究综述
张洪， 左勤， 辛景舟， 周建庭 - 科学技术与工程, 2022 - stae.com.cn
摘要为了准确把握桥梁结构性能退化规律, 实现桥梁养护决策精准化, 科学化,
综述了桥梁性能退化的模型建立方法以及养护时机优化研究现状. 调研了中外学者对桥梁性能 …
综述了桥梁性能退化的模型建立方法以及养护时机优化研究现状. 调研了中外学者对桥梁性能 …
A Feasibility Study for the Prediction of Concrete Pavement Condition Index (CPCI) Based on Machine Learning
In South Korea, various attempts have been made to utilize the Pavement Management
System database (PMS DB) more efficiently as a basis for preventive maintenance. Data for …
System database (PMS DB) more efficiently as a basis for preventive maintenance. Data for …
Evaluating the accuracy of predicted bridge condition using machine learning: the role of condition history
P Paydavosi, MS Dehghani… - Structure and Infrastructure …, 2023 - Taylor & Francis
Effective maintenance decisions for bridges depend on accurate performance prediction.
Machine learning (ML) models use historical bridge performance data to learn and predict …
Machine learning (ML) models use historical bridge performance data to learn and predict …