Details of a Researcher - Yamada Yoshitomo

Yamada Yoshitomo

写真a

Title	Professor
Researcher Number(JSPS Kakenhi)	80220416

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Current Affiliation Organization 【 display / non-display 】

Duty University of the Ryukyus Faculty of Engineering School of Engineering_Architecture and Building Engineering Program Professor
Concurrently University of the Ryukyus Graduate School of Engineering and Science Material,Structural and Energy Engineering Professor
Concurrently University of the Ryukyus Graduate School of Engineering and Science Architecture & Building Engineering Professor

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University 【 display / non-display 】

　

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1986.03

University of the Ryukyus Faculty of Engineering Architectural Engineering Graduated

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Graduate School 【 display / non-display 】

　

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1989.03

Osaka University Graduate School, Division of Engineering Doctor's Course (first term) Completed

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Academic degree 【 display / non-display 】

Utsunomiya University - Doctor of Engineering

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External Career 【 display / non-display 】

2007.04

　

　

University of the Ryukyus, Faculty of Engineering, Department of Civil Engineering and Architecture, Structural Design, Professor

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Affiliated academic organizations 【 display / non-display 】

1986.06

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Now

Architectural Institute of Japan
1991.04

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Now

Japan Concrete Institute
1995.04

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Now

Architectural Institute of Japan
1996.09

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Now

Japan Union of Cement Concrete
2002.04

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Now

Japan Society of Civil Engineers

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Research Interests 【 display / non-display 】

Durability,Rheology

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Research Areas 【 display / non-display 】

Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Building structures and materials

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Research Theme 【 display / non-display 】

Rheology of Fresh Concrete
Durability of Concrete

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Published Papers 【 display / non-display 】

Concrete Mix Design Using Machine Learning and Multi-Objective Optimization Methods Based on Experimental Data from Previous Studies

Shota Tamura, Sachie Sato, Yoshitomo Yamada

The 17th Korea-Japan Joint Symposium on Building Materials & Construction 104 - 109 2026.09

Type of publication: Research paper (international conference proceedings)
Machine Learning-Based Prediction of In-situ Concrete Strength (36–120 N/mm²) Using Cylindrical Specimens

Sachie Sato, Ryota Isobe, Yoshitomo Yamada

17th International Conference on the Durability of Building Materials and Components Full Paper Proceedings 20 ( 24 ) 104 - 109 2026.07 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)
Machine Learning Approach to Predicting Core and Standard-Cured Strengths of Structural Concrete

Sachie Sato , Ryota Isobe , Yoshitomo Yamada

Proceedings of the 7th fib Congress held in Lisbon 15 ( 19 ) 5856 - 5865 2026.06 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)
RHEOLOGICAL CONSTANTS MEASUREMENT OF HIGH-FLUIDITY CONCRETE THAT REQUIRES COMPACTION AND VERIFICATION OF ITS EFFECTIVENESS BY MPS ANALYSIS

Journal of Structural and Construction Engineering 2022.05 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)
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Prediction of the Temperature of Ready-Mixed Concrete from Okinawa Prefecture using Random-Forest Machine Learning

Kanta SHIMIZU，Yoshitomo YAMADA

14th International Symposium Between Japan, China and Korea Performance Improvement of Concrete for Long Life Span Structure 2021.08

Type of publication: Research paper (research society, symposium materials, etc.)