Alamdari, Ali Ghadimzadeh, and Arvin Ebrahimkhanlou. 2024. “A Multi-Scale Robotic Approach for Precise Crack Measurement in Concrete Structures.” Automation in Construction 158: 105215.
Ali, Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, Norrima Mokhtar, and Muhammad Ali Shoaib. 2022. “Structural Crack Detection Using Deep Convolutional Neural Networks.” Automation in Construction 133: 103989.
Allain, Cloitre, and M Cloitre. 1991. “Characterizing the Lacunarity of Random and Deterministic Fractal Sets.” Physical review A 44(6): 3552.
Alpaydin, Ethem. 2020. Introduction to Machine Learning. MIT press.
Asayesh, Behnam M, Hamid Zafarani, Sebastian Hainzl, and Shubham Sharma. 2023. “Effects of Large Aftershocks on Spatial Aftershock Forecasts during the 2017–2019 Western Iran Sequence.” Geophysical Journal International 232(1): 147–61.
Athanasiou, Apostolos, Arvin Ebrahimkhanlou, Jarrod Zaborac, Trevor Hrynyk, and Salvatore Salamone. 2020. “A Machine Learning Approach Based on Multifractal Features for Crack Assessment of Reinforced Concrete Shells.” Computer‐Aided Civil and Infrastructure Engineering 35(6): 565–78.
Azhari, Samira, and Mohammadjavad Hamidia. 2024. “Data-Driven Crack Image-Based Seismic Failure Mode Identification for Damaged RC Columns.” Engineering Failure Analysis: 108160.
Azhari, Samira, Amirali Mahmoodi, Amirhossein Samavi, and Mohammadjavad Hamidia. 2025. “Multi-Feature Driven Seismic Damage State Identification for Reinforced Concrete Shear Walls Using Computer Vision and Machine Learning.” Advances in Engineering Software 199: 103796.
Azuma, Y, and O Zenriku. 1977. “Examination of AF2 Series Experimental Results.” J Struct Constr Eng 25: 1499–1500.
Babaie Mahani, Alireza, and Javad Kazemian. 2018. “Strong Ground Motion from the November 12, 2017, M 7.3 Kermanshah Earthquake in Western Iran.” Journal of Seismology 22(6): 1339–58.
Baduge, Shanaka Kristombu, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pejman Sharafi, Bertrand Teodosio, Ankit Shringi, and Priyan Mendis. 2022. “Artificial Intelligence and Smart Vision for Building and Construction 4.0: Machine and Deep Learning Methods and Applications.” Automation in Construction 141: 104440.
Barbot, Sylvain, Heng Luo, Teng Wang, Yariv Hamiel, Oksana Piatibratova, Muhammad Tahir Javed, Carla Braitenberg, and Gokhan Gurbuz. 2023. “Slip Distribution of the February 6, 2023 Mw 7.8 and Mw 7.6, Kahramanmaraş, Turkey Earthquake Sequence in the East Anatolian Fault Zone.” Seismica 2(3).
Beckman, Gustavo H, Dimos Polyzois, and Young-Jin Cha. 2019. “Deep Learning-Based Automatic Volumetric Damage Quantification Using Depth Camera.” Automation in Construction 99: 114–24.
Bett, Bart J, James Otis Jirsa, and Richard E Klingner. 1985. Behavior of Strengthened and Repaired Reinforced Concrete Columns under Cyclic Deformations. Phil M. Ferguson Structural Engineering Laboratory, University of Texas at ….
Birely, Anna C, Laura N Lowes, and Dawn E Lehman. 2011. Fema P-58-3 FEMA P-58/BD-3.8.9 – Fragility Functions for Slender Reinforced Concrete Walls.
Bishop, Christopher M. 1995. Neural Networks for Pattern Recognition. Oxford university press.
Breiman, Leo. 2001. “Random Forests.” Machine learning 45: 5–32.
Chaudhuri, Kamalika, and Sanjoy Dasgupta. 2014. “Rates of Convergence for Nearest Neighbor Classification.” Advances in Neural Information Processing Systems 27.
Chen, Bo, Hua Zhang, Guijin Wang, Jianwen Huo, Yonglong Li, and Linjing Li. 2023. “Automatic Concrete Infrastructure Crack Semantic Segmentation Using Deep Learning.” Automation in Construction 152: 104950.
Chen, Qisen, Bo Yu, and Bing Li. 2024. “Quantifying Seismic Damage in RC Walls with Image Analysis.” Journal of Earthquake Engineering: 1–24.
Committee, A C I. 2008. “Building Code Requirements for Structural Concrete (ACI 318-08) and Commentary.” In American Concrete Institute.
Cordeiro, Sergio Gustavo Ferreira, and Edson Denner Leonel. 2019. “An Improved Computational Framework Based on the Dual Boundary Element Method for Three-Dimensional Mixed-Mode Crack Propagation Analyses.” Advances in Engineering Software 135: 102689.
Cover, Thomas, and Peter Hart. 1967. “Nearest Neighbor Pattern Classification.” IEEE transactions on information theory 13(1): 21–27.
Dung, Cao Vu. 2019. “Autonomous Concrete Crack Detection Using Deep Fully Convolutional Neural Network.” Automation in Construction 99: 52–58.
FEMA 306. 1998. “FEMA 306. EVALUATION OF EARTHQUAKE DAMAGED CONCRETE AND MASONRY WALL BUILDINGS. Basic Procedures Manual.” Management.
Friedman, Jerome H. 2001. “Greedy Function Approximation: A Gradient Boosting Machine.” Annals of statistics: 1189–1232.
Fukada, Y. 1976. “Experimental Investigation of Damage in RC Columns with Various Longitudinal Rebar Arrangements.” J Struct Constr Eng 25: 1413–14.
Géron, Aurélien. 2022. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. “ O’Reilly Media, Inc.”
Grzybowski, Jacek, and Tomasz BLACHOWICZ. 2020. “Estimation of Spatial Distribution and Symmetry of Textile Materials Using Lacunarity.” Communications in Development and Assembling of Textile Products 1(2): 180–85.
Hamidia, Mohammadjavad, Mostafa Kaboodkhani, and Hamid Bayesteh. 2024. “Vision-Oriented Machine Learning-Assisted Seismic Energy Dissipation Estimation for Damaged RC Beam-Column Connections.” Engineering Structures 301: 117345.
Hamidia, Mohammadjavad, Sina Mansourdehghan, Amir Hossein Asjodi, and Kiarash M Dolatshahi. 2022a. “Machine Learning-Aided Scenario-Based Seismic Drift Measurement for RC Moment Frames Using Visual Features of Surface Damage.” Measurement 205: 112195.
Hamidia, Mohammadjavad, Sina Mansourdehghan, Amir Hossein Asjodi, and Kiarash M Dolatshahi. 2022b. “Machine Learning-Based Seismic Damage Assessment of Non-Ductile RC Beam-Column Joints Using Visual Damage Indices of Surface Crack Patterns.” In Structures, Elsevier, 2038–50.
Harirchian, Ehsan, Tom Lahmer, and Shahla Rasulzade. 2020. “Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network.” Energies 13(8): 2060.
Hart, Peter E, David G Stork, and Richard O Duda. 2000. Pattern Classification. Wiley Hoboken.
Hassan, Sk S, P Pal Choudhury, B S Daya Sagar, S Chakraborty, R Guha, and A Goswami. 2015. “Quantitative Description of Genomic Evolution of Olfactory Receptors.” Asian-European Journal of Mathematics 8(03): 1550043.
Hastie, Trevor, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. 2009. 2 The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.
Henkhaus, Kurt W. 2010. “Axial Failure of Vulnerable Reinforced Concrete Columns Damaged by Shear Reversals.”
Hu, Wenbo, Weidong Wang, Chengbo Ai, Jin Wang, Wenjuan Wang, Xuefei Meng, Jun Liu, Haowen Tao, and Shi Qiu. 2021. “Machine Vision-Based Surface Crack Analysis for Transportation Infrastructure.” Automation in Construction 132: 103973.
Huang, Honglan, and Henry V Burton. 2019. “Classification of In-Plane Failure Modes for Reinforced Concrete Frames with Infills Using Machine Learning.” Journal of Building Engineering 25: 100767.
Huyan, Ju, Wei Li, Susan Tighe, Junzhi Zhai, Zhengchao Xu, and Yao Chen. 2019. “Detection of Sealed and Unsealed Cracks with Complex Backgrounds Using Deep Convolutional Neural Network.” Automation in Construction 107: 102946.
Jia, Zhe, Zeyu Jin, Mathilde Marchandon, Thomas Ulrich, Alice-Agnes Gabriel, Wenyuan Fan, Peter Shearer, et al. 2023. “The Complex Dynamics of the 2023 Kahramanmaraş, Turkey, M w 7.8-7.7 Earthquake Doublet.” Science 381(6661): 985–90.
Lattanzi, David, Gregory R Miller, Marc O Eberhard, and Olafur S Haraldsson. 2016. “Bridge Column Maximum Drift Estimation via Computer Vision.” Journal of Computing in Civil Engineering 30(4): 4015051.
Lim, Erwin, Shyh-Jiann Hwang, Chih-Hung Cheng, and Pin-Yi Lin. 2016. “Cyclic Tests of Reinforced Concrete Coupling Beam with Intermediate Span-Depth Ratio.” ACI Structural Journal 113(3).
Liu, Yiqing, and Justin K W Yeoh. 2021. “Automated Crack Pattern Recognition from Images for Condition Assessment of Concrete Structures.” Automation in Construction 128: 103765.
Liu, Zhenqing, Yiwen Cao, Yize Wang, and Wei Wang. 2019. “Computer Vision-Based Concrete Crack Detection Using U-Net Fully Convolutional Networks.” Automation in Construction 104: 129–39.
Lynn, Abraham C, Jack P Moehle, Stephen A Mahin, and William T Holmes. 1996. “Seismic Evaluation of Existing Reinforced Concrete Building Columns.” Earthquake Spectra 12(4): 715–39.
Mangalathu, Sujith, and Jong-Su Jeon. 2018. “Classification of Failure Mode and Prediction of Shear Strength for Reinforced Concrete Beam-Column Joints Using Machine Learning Techniques.” Engineering Structures 160: 85–94.
de Melo, Rafael H C, and Aura Conci. 2013. “How Succolarity Could Be Used as Another Fractal Measure in Image Analysis.” Telecommunication Systems 52(3): 1643–55.
Melo, Rafael Heitor Correia de. 2007. “Using Fractal Characteristics Such as Fractal Dimension, Lacunarity and Succolarity to Characterize Texture Patterns on Images.”
Moradi, Mohammad Javad, and Mohammad Amin Hariri-Ardebili. 2019. “Developing a Library of Shear Walls Database and the Neural Network Based Predictive Meta-Model.” Applied Sciences 9(12): 2562.
Murphy, Kevin P. 2022. Probabilistic Machine Learning: An Introduction. MIT press.
Mystkowski, Arkadiusz, Adam Wolniakowski, Adam Idzkowski, Maciej Ciężkowski, Michał Ostaszewski, Rafał Kociszewski, Adam Kotowski, et al. 2024. “Measurement and Diagnostic System for Detecting and Classifying Faults in the Rotary Hay Tedder Using Multilayer Perceptron Neural Networks.” Engineering Applications of Artificial Intelligence 133: 108513.
Nanthakumar, S S, Tom Lahmer, Xiaoying Zhuang, Goangseup Zi, and Timon Rabczuk. 2016. “Detection of Material Interfaces Using a Regularized Level Set Method in Piezoelectric Structures.” Inverse Problems in Science and Engineering 24(1): 153–76.
Nguyen, Hieu, Ngoc-Mai Nguyen, Minh-Tu Cao, Nhat-Duc Hoang, and Xuan-Linh Tran. 2021. “Prediction of Long-Term Deflections of Reinforced-Concrete Members Using a Novel Swarm Optimized Extreme Gradient Boosting Machine.” Engineering with Computers: 1–13.
Oh, Byung Kwan, Branko Glisic, Sang Wook Park, and Hyo Seon Park. 2020. “Neural Network-Based Seismic Response Prediction Model for Building Structures Using Artificial Earthquakes.” Journal of Sound and Vibration 468: 115109.
Okuwaki, Ryo, Yuji Yagi, Tuncay Taymaz, and Stephen P Hicks. 2023. “Multi‐Scale Rupture Growth With Alternating Directions in a Complex Fault Network During the 2023 South‐Eastern Türkiye and Syria Earthquake Doublet.” Geophysical Research Letters 50(12): e2023GL103480.
Olalusi, Oladimeji B, and Panagiotis Spyridis. 2020. “Machine Learning-Based Models for the Concrete Breakout Capacity Prediction of Single Anchors in Shear.” Advances in Engineering Software 147: 102832.
Omor, S, T Takahashi, K Ishii, and S Watanabe. 1974. “Failure Mode of Reinforced Concrete Columns with Various Ties Configurations.” J Struct Constr Eng 20: 1313–14.
Osamu, C, N Kondo, K Yanagishita, and R Fukuzawa. 1974. “Fracture Mechanism Identification for RC Columns with Large Height‐to‐width Ratios.” J Struct Constr Eng 20: 1311–12.
Paal, Stephanie G, Jong-Su Jeon, Ioannis Brilakis, and Reginald DesRoches. 2015. “Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations.”
Plotnick, Roy E, Robert H Gardner, and Robert V O’Neill. 1993. “Lacunarity Indices as Measures of Landscape Texture.” Landscape ecology 8(3): 201–11.
Rajakarunakaran, Surya Abisek, Arun Raja Lourdu, Suresh Muthusamy, Hitesh Panchal, Ali Jawad Alrubaie, Mustafa Musa Jaber, Mohammed Hasan Ali, et al. 2022. “Prediction of Strength and Analysis in Self-Compacting Concrete Using Machine Learning Based Regression Techniques.” Advances in Engineering Software 173: 103267.
Russell, David A, James D Hanson, and Edward Ott. 1980. “Dimension of Strange Attractors.” Physical Review Letters 45(14): 1175.
Schapire, Robert E, and Yoav Freund. 2013. “Boosting: Foundations and Algorithms.” Kybernetes 42(1): 164–66.
Shamsabadi, Elyas Asadi, Chang Xu, Aravinda S Rao, Tuan Nguyen, Tuan Ngo, and Daniel Dias-da-Costa. 2022. “Vision Transformer-Based Autonomous Crack Detection on Asphalt and Concrete Surfaces.” Automation in Construction 140: 104316.
Son, Vu Ngoc. 2018. “Experimental and Analytical Investigations on Seismic Behavior of Corroded Reinforced Concrete Members.”
Taud, Hind, and Jean-Franccois Mas. 2018. “Multilayer Perceptron (MLP).” Geomatic approaches for modeling land change scenarios: 451–55.
Tran, Cao Thanh Ngoc. 2010. “Experimental and Analytical Studies on the Seismic Behavior of Reinforced Concrete Columns with Light Transverse Reinforcement.”
Vafaei, Mohammadreza, Azlan bin Adnan, and Ahmad Baharuddin Abd. Rahman. 2013. “Real-Time Seismic Damage Detection of Concrete Shear Walls Using Artificial Neural Networks.” Journal of Earthquake Engineering 17(1): 137–54.
Wager, Stefan, and Susan Athey. 2018. “Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests.” Journal of the American Statistical Association 113(523): 1228–42.
Xia, Yuxuan, Jianchao Cai, Edmund Perfect, Wei Wei, Qi Zhang, and Qingbang Meng. 2019. “Fractal Dimension, Lacunarity and Succolarity Analyses on CT Images of Reservoir Rocks for Permeability Prediction.” Journal of Hydrology 579: 124198.
Xiang, Chao, Wei Wang, Lu Deng, Peng Shi, and Xuan Kong. 2022. “Crack Detection Algorithm for Concrete Structures Based on Super-Resolution Reconstruction and Segmentation Network.” Automation in Construction 140: 104346.
Yamamoto, K, and M Munemura. 1974. “Experiments on RC Short Columns with Varying Axial Force.” J Struct Constr Eng 20: 1309–10.
Zhang, Junfei, Yuantian Sun, Guichen Li, Yuhang Wang, Junbo Sun, and Jianxin Li. 2020. “Machine-Learning-Assisted Shear Strength Prediction of Reinforced Concrete Beams with and without Stirrups.” Engineering with Computers: 1–15.
Zhao, Peiqiang, Miao Luo, Dong Li, Yuqi Wu, Zhiqiang Mao, and Mehdi Ostadhassan. 2021. “Fractal Characterization and Petrophysical Analysis of 3D Dynamic Digital Rocks of Sandstone.” Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir Description 62(05): 500–515.
Zhou, Shuwei, Timon Rabczuk, and Xiaoying Zhuang. 2018. “Phase Field Modeling of Quasi-Static and Dynamic Crack Propagation: COMSOL Implementation and Case Studies.” Advances in Engineering Software 122: 31–49.
Zhu, Deqi, Aiping Tang, Congli Wan, Yusheng Zeng, and Ze Wang. 2021. “Investigation on the Flexural Toughness Evaluation Method and Surface Cracks Fractal Characteristics of Polypropylene Fiber Reinforced Cement-Based Composites.” Journal of Building Engineering 43: 103045.
Zhu, Zhenhua, Stephanie German, and Ioannis Brilakis. 2011. “Visual Retrieval of Concrete Crack Properties for Automated Post-Earthquake Structural Safety Evaluation.” Automation in Construction 20(7): 874–83.
)