BIM based decision-support tool for automating design to fabrication process of freeform lattice space structure

2021 ◽  
pp. 095605992110338
Author(s):  
Saeid Haghir ◽  
Ramtin Haghnazar ◽  
Sara Saghafi Moghaddam ◽  
Danial Keramat ◽  
Mohammad Reza Matini ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Decision Support Tool ◽  
Computational Design ◽  
Space Structure ◽  
Digital Design ◽  
Information Modeling ◽  
Freeform Surfaces ◽  
Geometric Problem ◽  
Support Tool ◽  
Lattice Space

Complex freeform surfaces and structures are increasingly designed and used in the product and building industry due to the advances in mathematics and digital design tools. However, there is still a gap between designing freeform surfaces and fabricating them. The process of preparing freeform surfaces’ shop drawings is complicated, time-consuming, and lacks the mutual understanding among the stakeholders. Computational design and Building Information Modeling (BIM) can serve as a mediator agent for the integration of design goals with the geometric logic of constructability. They can also facilitate creating platforms for designing and evaluating freeform structures. This open-ended qualitative research attempts to develop a systematic methodology for automating the design and construction drafting process of freeform lattice space structure. Solving this complex geometric problem aims to benefit the design for construction and manufacturers and shrink the cost and time of the process. The study employs a 3D computer-aided design (CAD) tool and introduces an algorithm that generates a BIM model. The BIM model contains shop drawings and suggests the specifications of the main elements, such as beams, glass panels, and nodes.

Of Grasshoppers and Rhinos: A Visual Literacy Approach to Born-Digital Design Records

2021 ◽  
Vol 84 (2) ◽  
pp. 281-319
Author(s):  
Aliza Leventhal ◽  
Julie Collins ◽  
Tessa Walsh
Keyword(s):  
Computer Aided Design ◽  
Visual Literacy ◽  
Historical Context ◽  
Digital Design ◽  
Information Modeling ◽  
Visual Interpretation ◽  
Built Form ◽  
Building Information ◽  
Software Interfaces ◽  
Aided Design

ABSTRACT This article explores the area of born-digital design records and visual literacy with an aim of demystifying these records and empowering archivists to appraise, describe, preserve, and provide access to them. It does so in a stepwise manner, guiding the archivist or researcher through the process of preparing, opening, viewing, exploring, and understanding these files. While at first the technical aspects of born-digital design records, such as computer-aided design (CAD) and building information modeling (BIM), can seem challenging, archivists should not be deterred. The article introduces crucial historical context and a methodology for unpacking the contents of born-digital design records, which together enable archivists to better see and decipher their significance and meaning. Also discussed are records creators, software preferences, processing workflows, and the visual interpretation of rendered images and the software interfaces. This then leads to a discussion around how to contextualize and understand the built form being communicated through drawings and models. The article also points to the array of teaching tools and interest groups that support archivists who wish to learn about the design community's practices, with the aim of lowering the barrier to engagement with these records. Visual literacy should be recognized as a vital skill, useful both in understanding these records and in decision-making around retention and preservation, so that stories of the places and people they reflect can be told.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

Neural Network Ensemble Approach to Pushed Convoys Dispatching Problems

2020 ◽  
Vol 27 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Aleksandar Radonjić ◽  
Danijela Pjevčević ◽  
Vladislav Maraš
Keyword(s):  
Neural Network ◽  
Decision Support Tool ◽  
Primary Objective ◽  
Danube River ◽  
Decision Making Process ◽  
Neural Network Ensemble ◽  
Support Tool ◽  
Shipping Company ◽  
The Republic ◽  
Power Measurements

AbstractThis paper investigates the use of neural networks (NNs) for the problem of assigning push boats to barge convoys in inland waterway transportation (IWT). Push boat–barge convoy assignmentsare part of the daily decision-making process done by dispatchers in IWT companiesforwhich a decision support tool does not exist. The aim of this paper is to develop a Neural Network Ensemble (NNE) model that will be able to assist in push boat–barge convoy assignments based on the push boat power.The primary objective of this paper is to derive an NNE model for calculation of push boat Shaft Powers (SHPs) by using less than 100% of the experimental data available. The NNE model is applied to a real-world case of more than one shipping company from the Republic of Serbia, which is encountered on the Danube River. The solution obtained from the NNE model is compared toreal-world full-scale speed/power measurements carried out on Serbian push boats, as well as with the results obtained from the previous NNE model. It is found that the model is highly accurate, with scope for further improvements.

A Decision Support Tool for Evaluating Big Data Investment in Transport: Empirical evidence from European use cases of NOESIS project

2020 ◽  
Author(s):  
Christos Katrakazas ◽  
Natalia Sobrino ◽  
Ilias Trochidis ◽  
Jose Manuel Vassallo ◽  
Stratos Arampatzis ◽  
...  
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Empirical Evidence ◽  
Decision Support Tool ◽  
Use Cases ◽  
Support Tool
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