Junming ZHANG

Research Topic
Creating predictive models for underground water/wastewater infrastructures
Research Abstract
Water/wastewater infrastructure in developed countries is rapidly aging, with many sewer and drinking water systems approaching or exceeding their design lifespans. Due to limited manpower and financial constraints, comprehensive replacement or repair is not feasible, and there is an urgent need for predictive tools and effective indicators that enable proactive maintenance and risk-based resource allocation. This study develops predictive models for underground pipeline degradation. The focus includes sewer pipelines and drinking water pipelines, with corrosion assessed from both internal and external sources.
研究室メンバー
教授
准教授
助教
博士研究員
特別研究学生
博士課程学生
- Katayoun AMIRFARD
- Mohammadreza VESALINASEH
- 三浦 耀平
- Luyao Wang
- Yu-bing LI
- YiLei WANG
- Marcus SANCHEZ
- Junming ZHANG
- 長谷川 祥樹