Architecture Engineers Award

  Wood-plastic composites (WPCs) have gained recognition in the architectural and construction industries due to their sustainability, ease of processing, and aesthetic flexibility. However, their limited load-bearing capacity and inherent brittleness restrict their use in demanding structural applications. The integration of carbon fabric mesh prepregs (CFMPs) through co-extrusion offers a new pathway to overcome these challenges. By combining material science and architectural engineering principles, this study explores the development of a high-performance composite system (BPC-CFMP) with superior mechanical adaptability for architectural components. Problem Identification and Research Gap Conventional WPCs exhibit inferior toughness and low fracture resistance, leading to early failure under high-stress conditions. Although fiber fabric prepregs provide bidirectional reinforcement, their post-curing rigidity often limits flexibility, resulting in brittle fractures under load...

  In the global effort toward achieving carbon neutrality, the building sector stands as one of the largest contributors to energy consumption and emissions. Enhancing the energy efficiency of buildings, particularly during their operational phase, has therefore become a central focus of modern architecture and sustainability research. The integration of Artificial Intelligence (AI) and Digital Twin technologies presents a promising path forward, enabling data-driven insights, real-time control, and predictive energy management. This research investigates the role of AI-driven Digital Twins in optimizing building performance, aligning technological innovation with sustainable design principles. Research Motivation and Objectives Buildings account for a significant portion of global energy demand, and inefficiencies in operation often stem from the lack of real-time monitoring and predictive control systems. Traditional energy management approaches fall short in dynamically adapt...

Particulate matter (PM) is recognized as a major air pollutant with significant adverse effects on human health worldwide. In underground restaurants in China, the growing reliance on prefabricated dishes has raised concerns about indoor particulate pollution. Limited natural ventilation, confined spaces, and intensive cooking activities may exacerbate the accumulation of PM, creating elevated exposure risks for both employees and customers. Understanding the levels and sources of particulate pollution in these settings is essential for developing effective health protection and pollution control strategies. Research Objective This study aims to address the existing research gap regarding particulate pollution in underground restaurants arising from the preparation of prefabricated dishes. Specifically, it seeks to systematically measure PM concentrations across different types of underground spaces and to identify the key factors influencing indoor particulate levels. By providing ...

  Architecture merges science, art, technology, and psychology to shape environments that influence human comfort and emotional well-being. The study investigates how building forms—particularly curved and angular geometries—affect users’ psychological responses and spatial preferences. By examining perception, emotional engagement, and context-based appeal, the research seeks to understand how architectural form can enhance user experience and inform evidence-based design strategies. Theoretical Foundation: Environmental Psychology and Form Perception Environmental psychology provides insights into how individuals emotionally and cognitively respond to spatial environments. Curved architectural forms often evoke feelings of comfort, softness, and safety, while angular designs may convey strength, modernity, or tension. Understanding these psychological associations helps architects design spaces that align with intended emotional outcomes and social purposes. Curved Geometry and ...

The rising need for sustainable and resilient marine infrastructure has accelerated the adoption of advanced fabrication technologies like 3D printing. Among these, 3D-printed fiber-reinforced concrete (3DPFRC) has emerged as a transformative solution for developing complex and durable marine structures such as sea walls, breakwaters, and underwater pipelines. This innovation combines precision design with environmental responsibility, significantly reducing material waste and production time. However, ensuring both high mechanical performance and low carbon emissions in 3DPFRC remains a pressing research challenge that requires interdisciplinary approaches integrating material science, artificial intelligence, and environmental engineering. Significance of 3DPFRC in Marine Environments Marine environments pose extreme challenges such as corrosion, pressure fluctuations, and high salinity, demanding materials with superior strength and durability. 3DPFRC addresses these issues by e...

  Pioneer Researcher Award   The Pioneer Researcher Award in Architecture honors individuals making significant contributions through innovative design, research, and sustainable solutions. It recognizes work that pushes the boundaries of the built environment, advances architectural knowledge, and inspires future innovation and leadership in the field.   Architecture Engineers Awards  🔗 Nominate now! 👉  https://architectureengineers.com/award-nomination/?ecategory=Awards&rcategory=Awardee  🌐 Visit: architectureengineers.com   📩 Contact: contact@architectureengineers.com   #ArchitectureResearch #SustainableArchitecture #InnovativeDesign #BuiltEnvironment #ArchitecturalExcellence #ResearchAwards #FutureOfArchitecture #ArchitecturalInnovation #GreenBuildings #ArchitecturalLeadership

  The transition toward Nearly Zero-Energy Buildings (NZEBs) is a key pathway to achieving sustainable development goals and reducing building-sector emissions. However, comparing NZEB performance remains challenging due to variations in climatic conditions, calculation methodologies, and primary energy factors. This study introduces a systematic benchmarking framework to evaluate NZEB performance through standardized simulation and normalization approaches aligned with Commission recommendations. Comparative Framework for NZEB Assessment Assessing NZEB performance across different contexts requires a harmonized methodological foundation. The research employs comparative analysis across residential and office building typologies to examine differences in thermal performance, primary energy use, and renewable integration levels. By applying correction factors for climatic variation, the study enhances comparability and consistency in evaluating building energy performance. Metho...

  Generative design has rapidly become a cornerstone of modern architectural and engineering innovation, enabling automated exploration of spatial layouts through computational intelligence. However, while these models efficiently generate diverse design options, they often lack integrated systems for evaluating performance metrics such as energy use, carbon impact, and spatial efficiency. This study bridges that gap by introducing a fully automated, image-based performance evaluation framework that accelerates the transition from concept to simulation-ready layouts. The approach redefines the workflow of early-stage design, providing instant sustainability insights that support low-carbon and high-performance outcomes. Image-Based Performance Evaluation Framework Traditional performance evaluation methods rely heavily on manual modeling, which is both time-consuming and prone to human error. To overcome this, the research introduces an automated image-to-simulation (Image2Sim)...

  Data scarcity in the construction domain limits the performance of deep neural networks, especially for computer vision tasks such as object detection and activity recognition. While synthetic data offers a scalable alternative to real-world data collection, its lack of photorealism often results in a noticeable “reality gap,” reducing the effectiveness of trained models in practical scenarios. Addressing this challenge requires innovative frameworks that can enhance the visual realism and diversity of synthetic datasets while retaining precise annotations. Synthetic Data Generation Challenges in Construction Generating high-quality synthetic datasets for construction environments presents several challenges, including complex lighting conditions, occlusions, material textures, and dynamic scenes involving workers and machinery. Traditional 3D rendering techniques fail to fully capture these contextual details, leading to unrealistic visual outputs. The lack of domain-specific re...