Articles with public access mandates - Mitsuyoshi AkiyamaLearn more
Not available anywhere: 3
Toward life-cycle reliability-, risk-and resilience-based design and assessment of bridges and bridge networks under independent and interacting hazards: emphasis on earthquake …
M Akiyama, DM Frangopol, H Ishibashi
Structure and Infrastructure Engineering 16 (1), 26-50, 2020
Mandates: US National Science Foundation, US Department of Transportation
Stochastic renewal process model of time-variant tsunami hazard assessment under nonstationary effects of sea-level rise due to climate change
AK Alhamid, M Akiyama, K Aoki, S Koshimura, DM Frangopol
Structural Safety 99, 102263, 2022
Mandates: Japan Science and Technology Agency
Framework for determining the dominant hazard of bridges under flood and seismic hazards
PS Firdaus, M Akiyama, H Matsuzaki, DM Frangopol, H Ishibashi
Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and …, 2022
Mandates: Japan Science and Technology Agency
Available somewhere: 5
Reliability estimation of corroded RC structures based on spatial variability using experimental evidence, probabilistic analysis and finite element method
M Zhang, H Song, S Lim, M Akiyama, DM Frangopol
Engineering Structures 192, 30-52, 2019
Mandates: US National Science Foundation
Modelling method of fibre distribution in steel fibre reinforced concrete based on X-ray image recognition
Y Li, X Ruan, M Akiyama, M Zhang, J Xin, S Lim
Composites Part B: Engineering 223, 109124, 2021
Mandates: National Natural Science Foundation of China
A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and …
S Srivaranun, M Akiyama, T Yamada, DM Frangopol, J Xin
Engineering Structures 279, 115588, 2023
Mandates: Japan Science and Technology Agency
A study on the design method for the material composition of small particle-size asphalt mixture for controlling cracks in asphalt pavement
J Xin, J Pei, M Akiyama, R Li, J Zhang, L Shao
Applied Sciences 9 (10), 1988, 2019
Mandates: National Natural Science Foundation of China
Stress-strain modeling of confined concrete using artificial neural networks
M Zhang, W Wang, M Akiyama
Proc. Jpn. Concr. Inst 42, 121-126, 2018
Mandates: National Natural Science Foundation of China
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