We propose a computational framework using surrogate models through five steps, which can systematically and comprehensively address number of related stochastic multi-scale issues in composites design. then used this to conduct an implementation nano-composite. Uncertain input parameters at different scales are propagated within bottom-up framework. Representative volume elements the context finite element modelling (RVE-FEM) finally obtain homogenised thermal conductivity. The selected by...

Polyurethane (PU) possesses excellent thermal properties, making it an ideal material for insulation. Incorporating Phase Change Materials (PCMs) capsules into has proven to be effective strategy enhancing building envelopes. This innovative design substantially enhances indoor stability and minimizes fluctuations in air temperature. To investigate the conductivity of Polyurethane-Phase foam composite, we propose a hierarchical multi-scale model utilizing Physics-Informed Neural Networks...

This paper presents an open digital ecosystem based on a web-framework with functional back-end server for user-centric energy retrofits. data-driven web framework is proposed building renovation benchmarking as part of advisory service development the V¨asterbotten region, Sweden. A 4-tier architecture developed and programmed to achieve users' interactive design visualization via browser. Six methods are integrated into this backend functions. Based these functions, users can be supported...

Space cooling in buildings is responsible for massive energy consumption and carbon emissions. Accurate load prediction can facilitate the implementation of energy-efficiency control strategies practice. In this paper, an improved attention-based deep learning approach proposed robust ultra-short-term prediction. First, a novel time representation introduced to extract periodicity non-periodicity loads efficiently. Then, long short-term memory with attention mechanism extracts properly steps...

Scientific experiments significantly enhance the understanding of human-building interactions in building and engineering research. Recently, conducting virtual reality (VR) has gained acceptance popularity as an approach to studying interactions. However, little attention been given standardization experimentations. Proper can promote reusability, replicability, repeatability VR accelerate maturity this emerging experimentation method. Responding such needs, authors proposed a interaction...

Modelling the performance of building stocks is crucial in facilitating renovation at stock level. Bottom-up modelling begins by detailing individual buildings and then aggregates them into Its primary advantage lies capturing inherent heterogeneity among distinct buildings, which enables tailored retrofitting. Naturally, this approach requires a comprehensive dataset with detailed information such as geometry envelope thermal properties. However, common challenge incompleteness available...

Product and process platforms have been promoted as possible enablers of increased productivity in civil engineering. However, such are traditionally applied mass manufacturing industries where production assets employed continuous uniform products, which strongly facilitates improvement. The discontinuous nature project-based engineering restricts possibilities. Thus, if implemented there is a need for methods capable evaluating the performance integrated product configurations specific...

A lean‐agile model of homebuilders' production systems is proposed in this research. Value stream mapping utilized to clarify the model, which pull and Kanban are used ensure smooth upstream de‐coupling point, while fluctuating market demands terms variety homes variability volumes managed by agile process downstream point. The point provide components shield from fluctuations. simulation developed evaluate validate effectiveness model. Simulation experiments show that prevents accumulation...

Greenhouse gas (GHG) emissions from construction processes are a serious concern globally. Of the several approaches taken to assess emissions, Life Cycle Assessment (LCA) based methods do not just take into account phase, but consider all phases of life cycle construction. However, many current LCA make general assumptions regarding location and effects, which justice inherent dynamics normal projects. This study presents model embodied energy associated GHG is specifically adapted address...

Excavators are one of the most energy-intensive elements earthwork operations. Predicting energy consumption and CO2 emissions excavators is therefore critical in order to mitigate environmental impact However, there a lack method for estimating such emissions, especially during early planning stages these activities. This research proposes model using an artificial neural network (ANN) predict excavator’s hourly under different site conditions. The proposed ANN includes five input...

As part of carbon neutrality goal, many Swedish municipalities have set local energy efficiency targets. Achieving these targets requires informed decision-making tailored to their contexts. Given that each municipality's building stock is characterized by specific conditions result in varying thermal performance terms U-values, making it important consider this inherent heterogeneity when designing retrofitting strategies. Tailored focus on identifying the most impactful features...