A well-designed base isolation system can largely reduce seismic loadings transferred to the superstructure and it not only enables to immediately reduce the superstructure building cost, but also to reduce the maintenance costs incurred after every earthquake during the building lifetime. To better understand these factors, this paper presents an efficient numerical optimization technique for comparing the responses of a base-isolated and a traditional fixed-base reinforced concrete ordinary building under the same type of solicitations and seismic spectra, as appropriate for each case.
Uncertainties in building operation and external factors such as occupant behavior, climate change, policy changes etc. impact building performance, resulting in possible performance deviation during operation compared to the predicted performance in the design phase. The probability of occurrences of these uncertainties are usually unknown and hence, scenarios are essential to assess the performance robustness of buildings.
The structure considered in this study is a bridge consisting of four identical and equally–spaced steel girders with ﬂanges welded to the web. The beams are supposed to bear a concrete slab, an asphalt layer and two sidewalks. A reference optimization is performed by using the modeFRONTIER MOGA-II algorithm in order to find a series of compromise solutions between small seismic horizontal displacements and small weight values.
In this paper, refurbishment of a single residential apartment is carried out by using DesignBuilder for problem definition and initial optimization, Energy Plus for energy computation and modeFRONTIER for driving the optimization loop and performing genetic optimization. The objectives are lowering energy consumption and the life cycle refurbishment cost, using a net present value (NPV) approach.
This work aims at evaluating the applicability of response surface methodology to the building envelope design exploration and optimization specifically regarding visual and energy performance. To achieve the research goal, a series of multi-objective optimization tests are arranged based on two different problem scales. The building envelope design optimization was formulated in Grasshopper and the optimization process carried out in modeFRONTIER.
This study of a sports center investigates using modeFRONTIER's set of multivariate analysis algorithms for exploration of the design space.The proposed method is computationally efficient and integrated into an environment familiar to architects. It relies on algorithms together with database querying capabilities available in PostgreSQL and a developed dashboard, which uses the Grasshopper interface.