Akira Koizumi

TL;DR: In this article, the authors apply reliability engineering in the waterworks field as one possible approach and to show its viability; it will also obtain vital messages revealed within pipeline incident data, such as cumulative failure distribution (unreliability) by pipeline material, the failure probability density and failure rate, among others.

TL;DR: In this paper, a multi-objective optimization of water operations in a water supply and distribution system is proposed to reduce energy consumption while meeting water quality needs, where fuzzy linear programming (LP) is applied to achieve a balance among multiple objectives.

TL;DR: In this paper, a statistical approach is used to predict severity of pipe corrosion at present and in future using a discriminant function analysis to judge whether the pipes are seriously corroded.

TL;DR: In this article, a method using genetic algorithms (GA) to optimize selection of appropriate pipe diameter during pipeline replacement planning for water distribution networks was proposed. But this method does not consider the stability of flow velocity in pipes.

TL;DR: In this paper, a multi-step genetic algorithm was developed to obtain the objective of selecting an optimal solution design for pipeline selection and trunk/limb mains diameters, and the result indicates that application of this method offers advantages for rehabilitation and expansion, in that not only meeting increasing water demand but also cost-effectiveness and desirable hydraulic conditions can be achieved in the network.