Research Article,     Type: Subscription;     Pages: 01-14;

Received: 18 December 2025 / Revised: 25 February 2026 / Accepted: 18 March 2026 / Published on: 02 April 2026

Title:  Predictive Resilience: Integrating Machine Learning and Digital Twins for High-Rise Earthquake Mitigation

Authors: Avinash Kumar, Sanjeet Patel & Abhishek Bharti

Abstract: AI-driven seismic resilience in high-rise structures leverages machine learning models like artificial neural networks (ANN) and support vector machines (SVM) to predict structural responses under dynamic earthquake loads. These models integrate real-time data from accelerometers, strain gauges, and fiber optic sensors to forecast inter-story drifts and lateral displacements with RMSE values as low as 0.089. Genetic algorithms (GA) optimize outrigger system configurations, including position, stiffness, and damping, achieving 46.67% reductions in lateral displacement and 55.56% in drifts compared to conventional designs. Pushover and time-history analyses validate these optimizations, enhancing energy dissipation by 33.33% in earthquake-prone regions like Bihar. Hybrid frameworks combine supervised learning with reinforcement refinement for adaptive retrofitting, outperforming empirical codes by enabling proactive damper adjustments.………….[For more click here]

Keywords: AI-Driven Seismic Resilience, Outrigger System Optimization, Genetic Algorithms (GA)

 

Research Article,    Type: Subscription;    Pages: 15-31;

Received: 24 December 2025 / Revised: 12 February 2026 / Accepted: 22 March 2026 / Published on: 02 April 2026

Title: Examine the properties of self-Healing Concrete with IoT for Blast Resistance

Authors: Adolf Kingal

Abstract: Self-healing concrete with IoT integration enhances blast resistance through autonomous crack repair mechanisms, primarily using bacteria-based (e.g., Bacillus species), microcapsule, or vascular systems that activate upon damage from shockwaves. Bacteria-induced healing relies on spores and nutrients like calcium lactate, which, triggered by water ingress post-blast, precipitate calcium carbonate to seal microcracks up to 200-300 µm within days to weeks, recovering 70-90% of mechanical strength. Microcapsule-based variants embed polymer shells (e.g., urea-formaldehyde with epoxy or polyurethane healing agents) that rupture under blast-induced strain, releasing agents for rapid closure (60-80% strength recovery in hours), with permeability reductions up to 99%. IoT sensors, such as embedded piezoelectric or fiber Bragg grating types, enable real-time monitoring of strain, pH, and crack propagation during and after blasts, transmitting data via wireless networks for predictive analytics. Blast resistance improves via reduced spalling and enhanced ductility; studies show self-healed samples exhibit 40-60% higher post-blast compressive strength retention compared to plain concrete under TNT equivalents…..…….[For more click here]

Keywords: Self-Healing Concrete, Blast Resistance, Autonomous Crack Repair, IoT Sensor Integration, Predictive Structural Analytics

 

Research Article,    Type: Subscription;    Pages: 32-45;

Received: 25 January 2026 / Revised: 23 February 2026 / Accepted: 01 March 2026 / Published on: 07 April 2026

Title: Design and Analysis of an Earthquake Wave-Affected Stencil Platform with a Tuned Liquid Damper Using Finite Element Analysis

Authors: Sachin Kumar, Chandan Kumar, Abhishek Kumar, Amit Kumar Sinha, Shubhendu Amit, Anjali Sinha, Rahul Chatterjee

Abstract: In places with a lot of risk, like India’s Himalayan belt and Seismic Zone IV, elevated stencil platforms like the modular SPD21 are very likely to be affected by seismic resonance and torsion caused by traveling waves. These lightweight, open-grid structures are often not well protected by traditional base isolation and ductile detailing. This study evaluates the seismic performance of an SPD21 platform impacted by earthquake waves, integrated with a Tuned Liquid Damper (TLD) as a passive vibration mitigation method. Utilizing Smoothed Particle Hydrodynamics (SPH) and potential flow theory, an extensive 3D Finite Element Analysis (FEA) framework was developed that distinctly integrated Soil Structure Interaction (SSI) for soft alluvial soils with Fluid-Structure Interaction (FSI). The model was tested with IS 1893 (2016) response spectra and time-history waveforms that simulated the long-lasting earthquake in Nepal in 2015. The optimized TLD cuts peak structural displacements by 20% to 50% without the heavy dead-weight penalties that solid mass dampers cause.…..…….[For more click here]

Keywords: Tuned Liquid Damper, Finite Element Analysis, Seismic Vibration Control, Stencil Platform, Sloshing Dynamics