Daijiro Mizutani 
- (2023): Optimal Repair Policies for Infrastructure Systems with Life Cycle Cost Minimization and Annual Cost Leveling. In: Journal of Infrastructure Systems, v. 29, n. 3 (September 2023).
- (2023): Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 13 (Mai 2023).
- (2013): Heterogeneity of Deterioration Processes as a Factor in Statistical Deterioration Prediction of Tunnel Luminaires. In: Journal of the Illuminating Engineering Institute of Japan, v. 97, n. 11 ( 2013).
- (2019): Reduction of Seismic Risk of Infrastructure via Daily Management Works. Vorgetragen bei: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.
- (2018): Improving the Estimation of Markov Transition Probabilities Using Mechanistic-Empirical Models. In: Frontiers in Built Environment, v. 3 (Februar 2018).
- (2017): Initial Investigations into the Use of Three Heuristic Algorithms to Determine Optimal Intervention Programs for Multiple Railway Objects. In: International Journal of Architecture Engineering and Construction, v. 6, n. 3 (September 2017).
- (2013): Hierarchical Bayesian Estimation of Mixed Hazard Models. Vorgetragen bei: IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013.
- (2013): Statistical Deterioration Prediction Model Considering the Heterogeneity in Deterioration Rates by Hierarchical Bayesian Estimation. In: Structural Engineering International, v. 23, n. 4 (November 2013).
- (2016): Damage Initiation and Propagation Model for Bridge Members. Vorgetragen bei: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.
- (2015): Comprehensive Evaluation Method for Deterioration of RC Slabs. Vorgetragen bei: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015.
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