INNOVATIVE STRUCTURAL SOLUTIONS FOR NEXT-GENERATION BUILDINGS: AN INTEGRATED FRAMEWORK FOR RELIABILITY, ADAPTABILITY, DIGITAL CONTROL AND LOW-CARBON PERFORMANCE
Keywords:
Building structures; structural innovation; reliability; modular construction; self-healing concrete; shape-memory alloy; topology optimization; digital twin; structural health monitoring; design for disassembly; low-carbon construction.Abstract
The contemporary development of building structures is no longer determined solely by the search for higher strength or lower initial material consumption. Structural solutions are increasingly required to provide reliability under multiple hazards, rapid and accurate construction, adaptability to changing functions, measurable environmental performance, controllable deterioration and the possibility of component recovery at the end of the first service cycle. Existing innovations—high-performance cementitious materials, self-healing concrete, shape-memory alloys, modular construction, replaceable seismic devices, topology optimization, additive manufacturing, structural health monitoring and digital twins—address important parts of this problem, but they are frequently selected and assessed independently. Such fragmentation can produce technically advanced structures whose global life-cycle performance is difficult to justify. The purpose of this study is to critically examine established and emerging innovations in building structures and to develop an Integrated Structural Innovation Decision Framework (ISIDF) that connects code compliance, reliability, material efficiency, constructability, adaptability, monitorability and circularity. The research uses standards-based comparative analysis, synthesis of recent experimental and digital-structural studies, functional decomposition of structural innovation, and an illustrative multi-criteria calculation for three building-system alternatives. The proposed framework defines a structural state vector, mandatory safety filters, a Structural Innovation Performance Index and a life-cycle objective function. It also introduces the principle of selective innovation: advanced materials, sensors and replaceable components should be concentrated where they generate measurable reductions in risk, carbon, downtime or uncertainty rather than being uniformly applied. The illustrative analysis shows that a conventional monolithic system can remain competitive in initial simplicity, while prefabricated hybrid systems improve construction speed and recoverability, and an adaptive modular hybrid system provides the best balanced result when long-term reliability, repairability, digital evidence and residual value are considered. The scientific contribution of the article lies in transforming innovation from a list of technologies into a controlled engineering process with explicit acceptance criteria and feedback during operation. The framework is applicable to reinforced-concrete, steel, composite and hybrid buildings and can be implemented at different digital maturity levels. It supports the transition from one-time structural verification to life-cycle structural governance without weakening the authority of established design codes.
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