Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach-Reference-Cited by-同舟云学术

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Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach

Published:2024-06 Issue:3 Volume:38 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Almarahlleh Nour¹,Liu Hexu²,Abudayyeh Osama³,Almamlook Rabia⁴

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Tafila Technical Univ., Tafila 66110, Jordan.

2. Associate Professor, Dept. of Civil Engineering and Construction Engineering, Western Michigan Univ., Kalamazoo, MI 49008 (corresponding author).

3. Professor and Chair, Dept. of Civil Engineering and Construction Engineering, Western Michigan Univ., Kalamazoo, MI 49008.

4. Assistant Professor, Dept. of Business Administration, Trine Univ., 720 Park Ave., Angola, IN 46703.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPCFEV.CFENG-4714

Reference42 articles.

1. Parameterized Logistic Models for Bridge Inspection and Maintenance Scheduling

2. Abedin M. S. Mokhtari and A. B. Mehrabi. 2021. “Bridge damage detection using machine learning algorithms.” In Vol. 11593 of Proc. SPIE 11593 Health Monitoring of Structural and Biological Systems X 532–539. Strasbourg France: Society of Photographic Instrumentation Engineers. https://doi.org/10.1117/12.2581125.

3. Al Mamlook R. E. T. Z. Abdulhameed R. Hasan H. I. Al-Shaikhli I. Mohammed and S. Tabatabai. 2020. “Utilizing machine learning models to predict the car crash injury severity among elderly drivers.” In Proc. 2020 IEEE Int. Conf. on Electro Information Technology 105–111. New York: IEEE. https://doi.org/10.1109/EIT48999.2020.9208259.

4. Developing Bridge Deterioration Models Using an Artificial Neural Network

5. Comparison of forecasting models to predict concrete bridge decks performance

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