Interest in the topic of structural reliability and optimal design has been rapidly growing in recent years. Besides, the field of numerical methods and artificial intelligence is experiencing a surge of new methods and the refinement of existing ones to expand opportunities to apply robust formulations to complex engineering problems. Today, more than ever, the field is receiving fresh ideas on how to face the challenges of finding a balance between cost and benefits that may lead towards the optimal design of systems. Recently, the probability density evolution method (PDEM) was proposed by Prof. Jie Li as an alternative way to obtain the stochastic and dynamic solution of the safety level of engineering systems under any kind of hazard. This work deals with the application of this powerful method to derive optimal design recommendations for large engineering systems under natural hazards. The three case studies illustrate to engineers and academic specialists how to strike a cost-effective balance in designing such systems.
Interest in the topic of structural reliability and optimal design has been rapidly growing in recent years. Besides, the field of numerical methods and artificial intelligence is experiencing a surge of new methods and the refinement of existing ones to expand opportunities to apply robust formulations to complex engineering problems. Today, more than ever, the field is receiving fresh ideas on how to face the challenges of finding a balance between cost and benefits that may lead towards the optimal design of systems. Recently, the probability density evolution method (PDEM) was proposed by Prof. Jie Li as an alternative way to obtain the stochastic and dynamic solution of the safety level of engineering systems under any kind of hazard. This work deals with the application of this powerful method to derive optimal design recommendations for large engineering systems under natural hazards. The three case studies illustrate to engineers and academic specialists how to strike a cost-effective balance in designing such systems.
Urban Drainage and Storage Practices focuses on the latest developments in urban stormwater design methods using drainage and storage approaches for both water quality and quantity control. It covers both the conventional approaches to flood mitigation and low-impact methods for stormwater quality enhancement. Theory, practice, and modeling methods are presented to illustrate how to build a holistic stormwater drainage and storage system using urban open space and parks through multiple land use. Each chapter provides background theory, numerical experiments, illustrations, and Excel spreadsheets that outline design and calculation procedures. All urban watersheds are modeled as a series of cascading planes to drain stormwater from upstream roofs and parking lots onto downstream grass areas and vegetal beds. The drainage system is designed as a three-layer cascading system with various low-impact units for micro events, conveyance elements for minor events, and storage facilities for macro events. This book: presents the theory and practice of designing and building a stormwater system explains green approaches to designing and managing urban stormwater systems. This text is ideal for senior and graduate students studying urban hydrology, hydraulic engineering, and water resource management. It will also be useful for engineers requiring a technical book with hands-on practical examples.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.