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Tackling Increasingly Frequent and Severe Natural Disasters

By K. Kusunoki

Special Issue: Concrete and AI

1. Introduction to AI

   1.1 AI-Driven 3D Digital Twins for Smart Cities

   By P. J. Chun

   1.2 An Overview of AI Utilization in the Field of Architecture from a Practical Perspective

   By A. Ino and R. Kiuchi

   1.3 Activities of the FS Committee on the Academic Database of Concretes and the Use of AI

   By S. Okazaki and S. Asamoto

   1.4 Considering the Knowledge Required of AI Users through Data Analysis

   By K. Obama

2. Design Field

   2.1 Design of Cement-Based Metamaterials Using Structural Analysis and Deep Reinforcement Learning

   By M. Ohno and K. Imagawa

   2.2 Formulation of Drying Shrinkage in Concrete Based on Interpretation of Machine Learning Model

   By Y. Okazaki, S. Okazaki, S. Asamoto and K. Imamoto

   2.3 Development of AI Incorporating Mechanical Interpretation for Shear Strength Prediction and Its Application Tool

   By M. Ozaki, R. Koshimizu, W. Prayoonwet and Y. Sato

   2.4 An Estimation of Damage Index of RC Columns Based on Earthquake Damage Photographs Using Deep Learning Models

   By T. Yoshioka

3. Construction Field

   3.1 Expectations and Challenges for AI in Construction Work

   By K. Ishida

   3.2 “Visualization” Technology of Concrete Construction Using AI and Image Analysis

   By S. Matsumoto, K. Mizuno, K. Watanabe and S. Yanai

   3.3 Development of Fresh Properties Prediction System Using AI in Concrete Manufacturing

   By M. Kudo, R. Sengoku and R. Kishira

   3.4 Development and Site Application of an AI-Based Concrete Compaction Management System

   By M. Uno, J. Chujo and R. Imai

   3.5 Development of AI for Evaluating the Quality of Concrete Surface Roughness

   By T. Nakabayashi and Y. Ishizeki

   3.6 Study on Application of Image Recognition Technology with Deep Learning to Filling Evaluation of PC Grout

   By S. Tamura, H. Nakamura and M. Sugie

   3.7 AI Application in Rebar Inspection

   By T. Hisashiba, M. Kuchi and K. Sakai

4. Maintenance Field

   4.1 Evaluation of Supporting Condition of Shinkansen Track Slabs Using Impact Acoustic Inspection and Nondefective Machine Learning

   By K. Inaba

   4.2 Damage Detection of Road Bridge Decks with an Inspection Robot and Transfer Learning

   By H. Naito

   4.3 Development of an Automatic Detection Method for Deterioration Areas Aiming at Labor-Saving in Concrete Bridge Inspections

   By H. Nakamura and K. Aoshima

   4.4 Residual Structural Performance Evaluation of Piers Using AI Technology

   By K. Uno

   4.5 Proposal of a Robust Anomaly Detection Method for River Blocks with a Variety of Normal Images

   By J. Fujii, Y. Tsuzuki and M. Amakata

   4.6 Exploration of Tacit Knowledge Extraction from Gaze Information and Its Application to AI

   By K. Aoshima