Ali Asghar Firoozi – författare

Underground Space Development: Engineering, Construction, and Management Principles and Practices provides an integrated, practice-oriented framework for developing underground infrastructure from initial planning and ground investigation through design, construction, commissioning, operation, maintenance, and rehabilitation. It connects engineering geology, soil and rock mechanics, hydrogeology, structural analysis, excavation, ground support, linings, waterproofing, and drainage with project delivery, construction management, risk governance, fire and life safety, environmental performance, and life-cycle asset management.The book covers tunnels, shafts, caverns, metro systems, utility corridors, storage facilities, and multiuse underground spaces. Dedicated chapters examine numerical modeling, BIM, GIS, digital twins, IoT, sensing, data analytics, automation, and artificial intelligence, together with subsurface rights, regulatory compliance, cost estimation, financing, stakeholder engagement, social value, and cultural heritage. International case studies identify transferable lessons from successful projects, failures, and challenging geological and urban settings.Written for advanced students, researchers, consulting engineers, contractors, asset owners, planners, regulators, and decision-makers, the book supports technically sound, safe, resilient, low-carbon, and economically responsible underground development.

This book delves into the transformative potential of neuromorphic computing within the field of civil engineering, specifically focusing on its application to disaster management. With the increasing frequency and severity of natural disasters, traditional disaster management systems face significant challenges in prediction accuracy, response time, and effective resource allocation. Neuromorphic computing, inspired by the neural processes of the human brain, offers a revolutionary approach to addressing these challenges. Through an in-depth exploration, this book outlines the theoretical foundations of neuromorphic computing, its integration into smart infrastructure, and the development of advanced predictive models for natural disasters such as earthquakes, floods, and urban fires. Additionally, it examines the technical, ethical, and social considerations inherent in deploying these technologies, alongside a vision for their future development. The convergence of neuromorphic computing and civil engineering heralds a new era of enhanced resilience, where more informed, rapid, and effective disaster management strategies are not just a possibility but a reality. The book contributes to the discourse on leveraging cutting-edge computing technologies to foster safer, more resilient communities in the face of natural calamities.

This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, inspired by the neural structures of the human brain, offers unparalleled efficiencies in processing complex, dynamic data sets, thereby facilitating real time decision-making and predictive analytics in infrastructure management. Through a comprehensive exploration of emerging circuits, memory technologies, intelligent learning algorithms, and application-driven systems, it illustrates how neuromorphic computing can significantly enhance the resilience, efficiency, and sustainability of urban infrastructure. The book further addresses the challenges, ethical considerations, and future directions associated with the integration of these advanced technologies into civil engineering projects. Through detailed case studies, it provides insights into successful implementation strategies, risk management, and contingency planning, underscoring the importance of ethical design and development. This book serves as a valuable resource for practitioners, researchers, and policymakers involved in the evolution of civil engineering toward smarter, more responsive, and sustainable urban environments.