Research article, Type: Subscription Tier-I; Page: 01-17;

Received: 18 April 2026 / Revised: 22 June 2026 / Accepted: 14 August 2026 / Published: 04 September 2026

Title: Seismic Performance Evaluation of High-Rise Commercial Buildings Utilizing Low-Cost Base Isolators Manufactured From Recycled Scrap Tires

Author: Vikash Kumar, Veborah Horn, Teena Favier, Rallan bell, Dehby Tandi & Donald Darant

Abstract: Safeguarding high-rise building structures during severe earthquake events requires highly advanced and expensive seismic isolation technologies. This research evaluates an affordable alternative utilizing structural base isolators constructed from recycled scrap rubber tires. Comprehensive finite element computer models will simulate the structural response of a twenty-story building under historic earthquake loads. Shake-table testing of physical scale models will validate the lateral displacement and energy dissipation capabilities of the isolators. The study specifically focuses on minimizing structural drift and preventing catastrophic collapse during major seismic shifts. This research aims to make reliable earthquake-resilient engineering accessible for rapidly developing, high-risk geographic regions…………….. [For more click here]

Keywords: Seismic isolation, Earthquake engineering, Recycled rubber, Structural dynamics

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_084

Research article, Type: Subscription Tier-II; Page: 18-34;

Received: 18 May 2026 / Revised: 13 June 2026 / Accepted: 26 August 2026 / Published: 08 September 2026

Title: Sustainable Concrete: Enhancing Mechanical Properties and Reducing Carbon Footprint Using Recycled Plastic Aggregates and Fly Ash

Author: Jonathan Price, Pietre vander Hostare, Tona Veeri,  Tori Black, Nova Crista & Aries Schippers

Abstract: The construction industry faces critical environmental challenges due to the high carbon emissions of cement production and the depletion of natural aggregates. This study investigates the dual benefits of replacing conventional ingredients with industrial and consumer waste. We evaluated the structural performance of concrete mixes by substituting 10% to 30% of natural coarse aggregates with processed polyethylene terephthalate (PET) plastic waste. Simultaneously, we replaced 20% of Ordinary Portland Cement (OPC) with Class F fly ash. Standard curing regimes were conducted for 7, 14, and 28 days to measure compressive, tensile, and flexural strengths. The experimental results indicate that while plastic aggregates slightly reduce structural density, the inclusion of fly ash mitigates long-term strength loss through pozzolanic reactions. The optimized mix design achieved a 28-day compressive strength exceeding 35 MPa, satisfying structural concrete standards. Microstructural analysis via Scanning Electron Microscopy (SEM) revealed acceptable interfacial transition zones between the plastic aggregates and the cement matrix. Ultimately, this approach offers a viable pathway to lower production costs by 15% and decrease the carbon footprint of structural elements, aligning civil engineering practices with circular economy goals….………….. [For more click here]

Keywords: Circular economy, Concrete technology, Fly ash, Green building materials, Mechanical properties, Plastic aggregate, Sustainable construction

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_085

Research article, Type: Subscription Tier-II; Page: 35-58;

Received: 27 June 2026 / Revised: 01 September 2026/ Accepted: 05 September 2026 / Published: 12 September 2026

Title: Evaluating the Structural Viability of Sustainable High-Strength Concrete using Industrial By-product

Author: Ankita Singh, Amit Kumar Sinha, Hariom Shankar, Akansha Jaiswal, Shweta Rawat, Suket Kumar & Vaishnav Patil

Abstract: The rapid escalation of global infrastructure development drives an unprecedented demand for High-Strength Concrete (HSC), inadvertently accelerating anthropogenic carbon dioxide Co2 emissions through conventional Ordinary Portland Cement (OPC) production. This study presents a systematic evaluation of the structural viability, durability, and environmental lifecycle benefits of sustainable HSC engineered by partially replacing OPC with industrial by-products. A ternary binder matrix was designed using Ground Granulated Blast-Furnace Slag (GGBS) and Silica Fume (SF) to optimize particle packing density and pozzolanic-hydraulic synergy. Six distinct concrete mixtures were synthesized: a control mixture (M0: 100% OPC) and five experimental variations (M1 to M4 representing incremental GGBS/SF replacements, and M5 as the multi-criteria optimized mix). Comprehensive testing evaluated fresh rheology, mechanical properties across a 90-day curing horizon, durability indices, microstructural densification via Scanning Electron Microscopy (SEM), and full-scale structural beam performance. Experimental data revealed that the optimized mixture (M5: 30% GGBS, 7.5% SF) achieved a 28-day compressive strength of 86.3 MPa, surpassing the control mix (82.4 MPa) while concurrently reducing embodied carbon by 37.5%. Full-scale structural load testing of reinforced beams confirmed that sustainable HSC exhibits equivalent initial stiffness, superior ultimate load-carrying capacity (+4.2%), and enhanced displacement ductility compared to conventional HSC. The results validate that technical structural reliability and deep-decarbonization objectives can be balanced through multi-criteria material optimization….………….. [For more click here]

Keywords: Sustainable Concrete; High-Strength Concrete; Ground Granulated Blast-Furnace Slag (GGBS); Silica Fume; Microstructural Matrix; Structural Beam Testing; Multi-Criteria Optimization; Deep Decarbonization

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_088

Research article, Type: Subscription Tier-I; Page: 59-73;

Received: 05 February 2026 / Revised: 13 July 2026 / Accepted: 05 August 2026 / Published: 18 September 2026

Title: Edge-Driven Federated Learning with Dynamic Resource Allocation for Privacy-Preserving Smart Healthcare IoT Systems

Author: Ruth Ronen, Narayanan Ganapathy, Vanita Kaneson, Samantha Sim & M. Z. Cohen

Abstract: The proliferation of Internet of Things (IoT) devices in healthcare has generated vast amounts of patient data, but centralising this data for machine learning models poses severe data privacy and bandwidth challenges. This paper proposes an edge-driven federated learning (FL) framework designed specifically for resource-constrained medical IoT networks. Instead of transmitting raw, sensitive health metrics to a cloud server, our framework enables local edge nodes to train deep learning models locally, sharing only encrypted model updates. To address the issue of heterogeneous device capabilities (stragglers), we introduce a reinforcement learning-based dynamic resource allocation algorithm. This algorithm optimises local training epochs, transmission power, and bandwidth allocation based on real-time channel conditions and device battery levels. Experimental results on benchmark medical datasets demonstrate that our approach achieves a 94.6% reduction in communication overhead and improves global model convergence speed by 22% compared to traditional Federated Averaging (FedAvg), all while maintaining strict user privacy.……………..[For more click here]

Keywords: Federated Learning, Edge Computing, Internet of Medical Things (IoMT), Privacy Preservation, Resource Allocation

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_089

Research article, Type: Subscription Tier-I; Page: 74-88;

Received: 18 May 2026 / Revised: 26 June 2026 / Accepted: 08 September 2026 / Published: 19 September 2026

Title: Numerical Investigation and Optimization of Biomimetic Sharkskin Micro-Riblets for Aerodynamic Drag Reduction in Wind Turbine Blades

Author: Robert A. Paul, Abdul Ahad, Yvonne Karen Parry & Matthew Ankers

Abstract: Improving the aerodynamic efficiency of wind turbine blades is critical for maximizing energy output and lowering the levelized cost of renewable energy. Inspired by the drag-reducing properties of sharkskin, this study presents a comprehensive numerical investigation into the application of biomimetic micro-riblets on the aerodynamic surfaces of a large-scale wind turbine blade. Using high-fidelity Computational Fluid Dynamics (CFD) with Large Eddy Simulations (LES), we evaluate the boundary layer performance of various riblet geometries (V-grooved, U-grooved, and blade-type) under diverse Reynolds numbers and angles of attack. The geometric parameters—including riblet height, spacing, and blade surface coverage—are systematically optimised using a genetic algorithm. The results indicate that the optimised V-grooved micro-riblets delay boundary layer separation and reduce total aerodynamic drag by up to 7.8%, yielding a projected 3.4% increase in annual energy production (AEP). This research provides a scalable, bio-inspired passive flow control strategy for next-generation, high-efficiency wind energy systems..…………….. [For more click here]

Keywords: Biomimetics, Computational Fluid Dynamics (CFD), Drag Reduction, Wind Turbine Blades, Micro-riblets

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_091

Research article, Type: Subscription Tier-I; Page: -89-103;

Received: 18 April 2026 / Revised: 13 June 2026 / Accepted: 14 September 2026 / Published: 27 September 2026

Title: Decentralised Zero-Knowledge Identity Verification Architecture for Secure Cross-Border E-Commerce Transactions

Author: Md. Arman Rahim

Abstract: The surge in cross-border e-commerce has led to a dramatic rise in identity theft and identity verification fraud, highlighting the vulnerabilities of centralised credential storage. This paper introduces a decentralised identity verification architecture that leverages Zero-Knowledge Proofs (ZKPs) built on a permissioned blockchain. The proposed framework allows users to prove their identity, age, or financial solvency to international merchants without exposing any underlying personally identifiable information (PII). By decoupling identity issuance from identity verification, the system eliminates the risks associated with single-point-of-failure database breaches. We implement a prototype using Ethereum smart contracts and zk-SNARKs to evaluate cryptographic latency and gas fee efficiency. The benchmarking results show that the architecture successfully authenticates users in under 1.4 seconds while reducing verification-related operational costs for merchants by 41.2%, offering a highly scalable, privacy-first alternative for global digital commerce..…………….. [For more click here]

Keywords: Zero-Knowledge Proofs, Blockchain Architecture, Decentralised Identity (DID), E-Commerce Security, Privacy Engineering

Doi (Journal): 10.1045/2026.Bauingenieur/108804-VDI_094