A graph- and feature-based building space recognition algorithm for performance simulation in the early design stage

2017 ◽  
Vol 11 (2) ◽  
pp. 281-292 ◽  
Author(s):  
Hongzhong Chen ◽  
Ziwei Li ◽  
Xiran Wang ◽  
Borong Lin
Keyword(s):  
Recognition Algorithm ◽  
Design Stage ◽  
Performance Simulation ◽  
Early Design ◽  
Early Design Stage ◽  
Feature Based ◽  
Space Recognition

scholarly journals The Early Design Stage of a Novel Solar Thermal Façade (STF) for Building Integration: Energy Performance Simulation and Socio-Economic Analysis

2016 ◽  
Vol 96 ◽  
pp. 55-66 ◽  
Author(s):  
Jingchun Shen ◽  
Xingxing Zhang ◽  
Tong Yang ◽  
Llewellyn Tang ◽  
Yupeng Wu ◽  
...  
Keyword(s):  
Economic Analysis ◽  
Energy Performance ◽  
Solar Thermal ◽  
Design Stage ◽  
Performance Simulation ◽  
Early Design ◽  
Early Design Stage

A hybrid metamodel-based method for quick energy prediction in the early design stage

2021 ◽  
pp. 128825
Author(s):  
Shuyan Zhu ◽  
Yufeng Zhang ◽  
Ke Xiang ◽  
Chenlong Ma
Keyword(s):  
Design Stage ◽  
Early Design ◽  
Energy Prediction ◽  
Early Design Stage

Identification of Human Errors During Early Design Stage Functional Failure Analysis

2018 ◽  
Author(s):  
Lukman Irshad ◽  
Salman Ahmed ◽  
Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Human Error ◽  
System Level ◽  
Design Stage ◽  
Human Factors Engineering ◽  
Human Errors ◽  
Functional Failure ◽  
Early Design ◽  
Early Design Stage ◽  
Early Design Stages

Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced FFIP (Functional Failure Identification and Propagation), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed towards the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. To explore the capabilities of the proposed method, it is applied to a hold-up tank example and the results are coupled with Digital Human Modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.

A review of the Sustainability and Parametric Design Approach of Complex Tall Buildings at an Early Design Stage

2021 ◽  
Author(s):  
Aiman H. H. Al-Masoodi ◽  
F. H. Alkhatib ◽  
Nasir Shafiq ◽  
Al-Hussein M. H. Al-Aidrous
Keyword(s):  
Parametric Design ◽  
Tall Buildings ◽  
Design Approach ◽  
Design Stage ◽  
Early Design ◽  
Early Design Stage
Sign in / Sign up

Export Citation Format

Share Document