John Haymaker
Affiliations: | Stanford University, Palo Alto, CA |
Area:
Civil Engineering, Mechanical Engineering, EnergyGoogle:
"John Haymaker"
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Publications
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| Rezaee R, Brown J, Haymaker J, et al. (2019) A novel inverse data driven modelling approach to performance-based building design during early stages Advanced Engineering Informatics. 41: 100925 |
| Nourbakhsh M, Irizarry J, Haymaker J. (2018) Generalizable surrogate model features to approximate stress in 3D trusses Engineering Applications of Artificial Intelligence. 71: 15-27 |
| Karan EP, Irizarry J, Haymaker J. (2016) BIM and GIS Integration and Interoperability Based on Semantic Web Technology Journal of Computing in Civil Engineering. 30 |
| Karan E, Irizarry J, Haymaker J. (2015) Generating IFC models from heterogeneous data using semantic web Construction Innovation. 15: 219-235 |
| Welle B, Haymaker J, Fischer M, et al. (2014) CAD-centric attribution methodology for multidisciplinary optimization environments: Enabling parametric attribution for efficient design space formulation and evaluation Journal of Computing in Civil Engineering. 28: 284-296 |
| Gane V, Haymaker J, Fischer M, et al. (2014) Application of Design Scenarios Methodology to Evaluate the Effectiveness of Transparent Parametric Design Spaces Journal of Architectural Engineering. 20: 4013009 |
| Flager F, Soremekun G, Adya A, et al. (2014) Fully Constrained Design: A general and scalable method for discrete member sizing optimization of steel truss structures Computers & Structures. 140: 55-65 |
| Flager F, Adya A, Haymaker J, et al. (2014) A bi-level hierarchical method for shape and member sizing optimization of steel truss structures Computers & Structures. 131: 1-11 |
| Gane V, Haymaker J. (2012) Design Scenarios: Enabling transparent parametric design spaces Advanced Engineering Informatics. 26: 618-640 |
| Clevenger CM, Haymaker J. (2011) Metrics to assess design guidance Design Studies. 32: 431-456 |