American Journal of Civil Engineering and Architecture
ISSN (Print): 2328-398X ISSN (Online): 2328-3998 Website: http://www.sciepub.com/journal/ajcea Editor-in-chief: Dr. Mohammad Arif Kamal
Open Access
Journal Browser
Go
American Journal of Civil Engineering and Architecture. 2021, 9(5), 181-202
DOI: 10.12691/ajcea-9-5-2
Open AccessArticle

BIM Based Normative Calculations for Early Stages of Building Design

Hugo Sheward1,

1Department of Architecture, The University of Kansas, Lawrence, USA

Pub. Date: October 24, 2021

Cite this paper:
Hugo Sheward. BIM Based Normative Calculations for Early Stages of Building Design. American Journal of Civil Engineering and Architecture. 2021; 9(5):181-202. doi: 10.12691/ajcea-9-5-2

Abstract

This paper describes research developed in automatic of normative calculations using BIM technologies for the purpose of supporting design decisions based in engineering data, such systems are an important design assessment parameter when performing design decisions, and influence in the performance of the building in early stages of design. Our research concentrates in developing computational technologies to allow computer software to implement normative calculation to support designer’s capabilities to perform design decisions, this is done in the domain of ventilation systems engineering. We describe here new methodologies for embedding engineering domain heuristics normative calculations and the associated geometric operations in contemporary Computer Aided Design (CAD) software; this is done to achieve close to real time engineering feedback, therefore, facilitating engineering base decision making during early concept architectural design workflows. This research has been developed in the context of laboratory buildings, since for these there is several well-established normative calculations regarding both design best practices and systems engineering particularly in Heating Ventilation and Air Conditioning (HVAC), particularly in ventilation.

Keywords:
BIM building performance simulation early concept design HVAC

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Figures

Figure of 22

References:

[1]  Welle. B., Haymaker, J., Fischer, M., & Bazjanac, V. author here CAD Centric Attribution Methodology for Multidisciplinary Optimization Environments: Enabling Parametric Attribution for Eficient Design Space Formulation and Evaluation Journal of Computing in Civil Engineering, 28(2), 284-296, 2014.
 
[2]  Bazjanac, V. Acquisition of building geometry in the simulation of energy performance Citeseer, 2001
 
[3]  McIntosh, I. B. D., C. B. Dorgan and C. E. Dorgan ASHRAE laboratory design guide American Society of Heating, Refrigerating and Air-Conditioning Engineering, Atlanta, Ga., 2001.
 
[4]  Facilities, T. N. I. o. H. D. o. T. R. O. o. R. NIH Design Requirements Manual Biomedical Laboratories & Animal Research Facilities he National Institutes of Health, 2008.
 
[5]  Health, O. o. R. F. N. I. o. NIH design policies and guidelines Department of Health and Human Services USA, 2003.
 
[6]  Kimura, F., Ariyoshi, H., Ishikawa, H., Naruko, Y., & Yamato, H. Capturing expert knowledge for supporting design and manufacturing of injection molds CIRP Annals-Manufacturing Technology, 53(1), 147-150, 2004.
 
[7]  Bennett, A. M., S. R. Parks and J. E. Benbough Development of particle tracer techniques to measure the efectiveness of high containment laboratories Journal of the American Biological Safety Association. 10(3): 139, 2005.
 
[8]  Level of development (LOD) specification, Building Smart International, https://bimforum.org/lod/).
 
[9]  General Services Administration GSA. (2010), Facilities Standards for the Public Buildings Service (P-100), Washington, DC.
 
[10]  Sheward, Hugo, and Eastman Charles Preliminary Concept Design (PCD) Tools for Laboratory Buildings, Automated Design Optimization and Assessment Embedded in Building Information Modeling (BIM)Tools Computer Aided Architectural Design Futures, Belgium, 2011. 53.
 
[11]  Hegazy, T., Zaneldin, E., Grierson, D. Improving design coordination for building projects. I: Information model Journal of construction engineering and management, 127(4), 322-329. 2001.
 
[12]  Mokhtar, A., Bedard, C., & Fazio, P. Information model for managing design changes in a collaborative environment Journal of Computing in Civil Engineering, 12(2), 82-92, 1998.
 
[13]  Holzer, D. Sense-making across collaborating disciplines in the early stages of architectural design RMIT University, 2009.
 
[14]  Chaszar, A. Blurring the Lines: Computer-Aided Design and Manufacturing in Contemporary Architecture Academy Press, 2006.
 
[15]  Trcka, M., J. Hensen Overview of HVAC system simulation Automation in Construction 19(2): 93-99, 2010.
 
[16]  Rousseau P.G., M. E. H. Needs and trends in integrated building and HVAC thermal design tools Building and Environment. 28, 1993.
 
[17]  ] Augenbroe, Godfried. Building simulation trends going into the new millennium Building Simulation, vol. 7. 2001.
 
[18]  Park, C. S. and G. Augenbroe A Building Performance Toolkit for GSA,College of Architecture, Georgia Institute of Technology, Atlanta, GA., 2002.
 
[19]  Bazjanac, V., Maile, T., O'Donnell, J., Rose, C., Mrazovic, N. Data Enviroments and Processing in Sem-Automated Simulation with EnergyPlus In CIB W078-W102: 28th International Conference. CIB, Sophia Antipolis, France., 2011.
 
[20]  Sanguinetti, P., S. Abdelmohsen, J. Lee, J. Lee, H. Sheward, C. Eastman General system architecture for BIM: An integrated approach for design and analysis Advanced Engineering Informatics 26(2): 317-333, 2012.
 
[21]  Handbook-Fundamentals, A. IP edn IP edn." American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc, 2013.
 
[22]  Chosewood, L. C. and D. E. Wilson Biosafety in microbiological and biomedical laboratories DIANE Publishing, 2007.
 
[23]  Dahan, F. Laboratories: a guide to master planning, programming, procurement, and design New York, Norton, 2000.
 
[24]  DiBerardinis, L. J., Baum, J. S., First, M. W., Gatwood, G. T., Seth,A. K. Guidelines for laboratory design: health, safety and environmental considerations John Wiley & Sons., 2013.
 
[25]  Bell, A. HVAC Equations, Data, and Rules of Thumb McGraw-Hill, 2000.
 
[26]  Todesco, G. Integrated Designs and HVAC Equipment Sizin ASHRAE JOURNAL 46: 42-47, 2004.
 
[27]  Lee, J., C. M. Eastman, M. Kannala and Y. Jeong Computing walking distances within buildings using the universal circulation network Environment and Planning B: Planning and Design 37(4): 628-645, 2010.
 
[28]  Park, C. S. and G. Augenbroe A Building Performance Toolkit for GSA, College of Architecture, Georgia Institute of Technology, Atlanta, GA., 2002.
 
[29]  Park, C. S. and G. Augenbroe Benchmarking of a Building Performance Assessment Toolkit ASCE., 2004.
 
[30]  Harris, N. and D. Conde Modern air conditioning practice McGraw-Hill, 1959.
 
[31]  McQuiston, F., J. Parker and J. Spitler Heating, ventilating, and air conditioning: analysis and design Wiley, 2004.
 
[32]  Sauer, H., R. Howell and W. Coad Principles of heating, ventilating and air conditioning American Society of Heating, Refrigerating and Air-Conditioning Engineers, 2009.
 
[33]  Khemlan, L. Top Criteria for BIM Solutions: AECbytes Survey Results. www.aecbytes.com/feature/2007/BIMSurveyReport.html., 2007.
 
[34]  Degelman, L. O. Examination of the concept of using Typical-Week weather data for simulation of annualized energy use in buildings IBIPSA. Prague, Czech Republic., 1997.
 
[35]  Westphal, F. S., R. Lamberts The use of simplifed weather data to estimate thermal loads of non-residential buildings Energy and Buildings. 36(8): 847-854, 2004.
 
[36]  Handbook-Fundamentals, A. IP edn IP edn. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc, 2013.
 
[37]  Jack, Tonye K A Simplified Pipeline Calculations Program: Liquid Flow (1) International Journal of Scientific & Engineering Research, 2012.