Bridge Damage Identification Using Artificial Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bridge Damage Identification Using Artificial Neural Networks

Published:2018-11 Issue:11 Volume:23 Page:04018084
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Weinstein Jordan C.¹,Sanayei Masoud²,Brenner Brian R.³

Affiliation:

1. Graduate Student, Research Assistant, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155.

2. Professor, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155 (corresponding author).

3. Professor of the Practice, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001302

Reference35 articles.

1. EFFECTS OF TESTING, ANALYSIS, DAMAGE, AND ENVIRONMENT ON MODAL PARAMETERS

2. Vibration Signature Analysis Using Artificial Neural Networks

3. Encyclopedia of Structural Health Monitoring

4. Application of artificial neural networks to load identification

Cited by 67 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using the load distribution between girders to monitor the condition of bridges;Engineering Structures;2024-11

2. An interpretable machine learning approach for predicting the capacity and failure mode of reinforced concrete columns;Advances in Structural Engineering;2024-09-06

3. Data-Driven Performance Evaluation of A Concrete Slab Bridge Using Machine Learning;International Journal of Civil Engineering;2024-08-07

4. Application of Deep Convolutional Generative Adversarial Network to Identification of Bridge Structural Damage;International Journal of Structural Stability and Dynamics;2024-08-06

5. Monitoring technology and data processing methods for Chinese bridges research progress;International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024);2024-06-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3