scholarly journals STRUCTURAL E-PERMITS: AN OPENBIM, MODEL-BASED PROCEDURE FOR PERMIT APPLICATIONS PERTAINING TO STRUCTURAL ENGINEERING

2021 ◽  
Vol 27 (8) ◽  
pp. 651-670
Author(s):  
Vittoria Ciotta ◽  
Angelo Ciccone ◽  
Domenico Asprone ◽  
Gaetano Manfredi ◽  
Edoardo Cosenza
Keyword(s):  
Structural Engineering ◽  
Swot Analysis ◽  
Structural Information ◽  
Additional Research ◽  
Automatic Extraction ◽  
Proof Of Concept ◽  
Information Requirements ◽  
Model Based ◽  
Engineering Information ◽  
Preliminary Research

This paper investigates the creation and use of integrated IFC models to modernise traditional processes for applications to building authorities for structural engineering approvals and permits. First, we provide a brief overview of e-permit systems in the AEC sector, with the focus on solutions that implement openBIM standards like IFC, MVD, and IDM. Second, we conduct a study on the information requirements of Italy’s seismic-authorisation processes relating specifically to the field of structural engineering. Third, we describe preliminary research on defining the structural engineering information that needs to be incorporated in the IFC format for e-permitting scopes. Fourth, we present our early work on the development of an MVD that would enable the automatic extraction of integrated IFC models. Fifth, we illustrate the reference workflow of the Str.E.Pe. project and propose a preliminary proof-of-concept that makes use of an IFC model, which has been integrated with structural information to support the activities of the building authority in Avellino. The officers there have developed a SWOT analysis using IFC models to assist them in assessing the compliance of structural projects with seismic requirements. Finally, the paper sets out additional research we intend to undertake and our conclusions.

Presenting Model-Based Systems Engineering Information to Non-Modelers

2021 ◽  
Author(s):  
Jeffrey R. Cohen ◽  
Sarah Arai ◽  
Tatyana Rakalina ◽  
Emily Griffin ◽  
Jared Heiser ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Model Based ◽  
Engineering Information ◽  
Model Based Systems Engineering

scholarly journals Knowledge Organization and Representation under the AI Lens

2020 ◽  
Vol 5 (1) ◽  
pp. 3-17
Author(s):  
Jian Qin
Keyword(s):  
Linked Data ◽  
Information Science ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Proof Of Concept ◽  
Primary Method ◽  
Methods And Techniques ◽  
Preliminary Research ◽  
Practical Implications

AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differences between KO and KR are discussed based on the goal, methods, and functions.Research limitationsThis is only a preliminary research with a case study as proof of concept.Practical implicationsThe paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.

scholarly journals Logic Grammars for Diagnosis and Repair

2003 ◽  
Vol 12 (03) ◽  
pp. 227-248 ◽  
Author(s):  
Henning Christiansen ◽  
Veronica Dahl
Keyword(s):  
Natural Language ◽  
Error Detection ◽  
Specific Problem ◽  
Constraint Handling ◽  
Proof Of Concept ◽  
Top Down ◽  
Bottom Up ◽  
Model Based ◽  
Logic Grammars

We propose an abductive model based on Constraint Handling Rule Grammars (CHRGs) for detecting and correcting errors in problem domains that can be described in terms of strings of words accepted by a logic grammar. We provide a proof of concept for the specific problem of detecting and repairing natural language errors, in particular, those concerning feature agreement. Our methodology relies on grammar and string transformation in accordance with a user-defined dictionary of possible repairs. This transformation also serves as top-down guidance for our essentially bottom-up parser. With respect to previous approaches to error detection and repair, including those that also use constraints and/or abduction, our methodology is surprisingly simple while far-reaching and efficient.

scholarly journals Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept

2016 ◽  
Vol 121 (3) ◽  
pp. 459-467 ◽  
Author(s):  
Arthur Jochems ◽  
Timo M. Deist ◽  
Johan van Soest ◽  
Michael Eble ◽  
Paul Bulens ◽  
...  
Keyword(s):  
Predictive Model ◽  
Real Life ◽  
Distributed Learning ◽  
Proof Of Concept ◽  
Model Based

Design Resource Reusable Model Based on Function Surface for DFMC

2011 ◽  
Vol 215 ◽  
pp. 379-383
Author(s):  
J.Y. Yang ◽  
Z.H. Cheng ◽  
Zhong Kai Li
Keyword(s):  
Mass Customization ◽  
Structural Information ◽  
Optimization Method ◽  
Product Layer ◽  
Concept Design ◽  
Model Based ◽  
Customer Order ◽  
Core Technology ◽  
High Level ◽  
And Function

The rationality of design resource reusable model is the key to judging whether a mass customization system has adequate flexibility and agility or not. Based on the demand of the Design for Mass Customization (DFMC), design resource reusable model should not only include high-level feature information such as demands, functions, principles and constraints, but also include the underlying structural information such as geometry features and assembly relationship. Function Surface is the media between the function and the structure in concept design progress, which is processed to solve the uncertainty when the function maps directly to the structure. Based on Function Surface theory, the multi-layer design resource reusable model including the entity product layer, entity module layer, shell part layer, Function Pattern layer and Function Surface layer is proposed. The designer can browse and find the reusable model based on the different position of the decoupling point of the customer order in the production process. According to the model and the statistical data of the management, the reuse rate curve of design resource is drawn, and the overall optimization method of the design resource reusable standard model and the evolution method of the core technology are proposed.

scholarly journals Assessing Material Fragility using Nanoscale Incremental Dynamic Analysis

2021 ◽  
Author(s):  
Steven Cranford
Keyword(s):  
Molecular Dynamics ◽  
Carbon Nanotube ◽  
Dynamic Analysis ◽  
Structural Engineering ◽  
Incremental Dynamic Analysis ◽  
Fragility Curve ◽  
Material Failure ◽  
Proof Of Concept ◽  
Performance Based Assessment ◽  
Stochastic Loads

A new methodology to assess material failure subjected to stochastic loads is proposed, titled Nanoscale Incremental Dynamic Analysis (NIDA), which is adopted from performance-based assessment in structural engineering. Using full atomistic molecular dynamics, proof-of-concept simulations produce the material fragility curve of a simple carbon nanotube.

scholarly journals AI-based Spectroscopic Monitoring of Real-time Interactions between SARS-CoV-2 and Human ACE2

2020 ◽  
Author(s):  
Sheng Ye ◽  
Guozhen Zhang ◽  
Jun Jiang
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Protein Dynamics ◽  
Structural Information ◽  
Protein Complexes ◽  
Spike Protein ◽  
Proof Of Concept ◽  
Spectroscopy Study ◽  
Time Resolved ◽  
Spectroscopic Monitoring

<div> <p>Here we demonstrate by a proof-of-concept simulation of IR spectra of complex of spike protein of SARS-CoV-2 and human ACE2, that a time-resolved spectroscopy may monitor the real-time structural information of the protein-protein complexes of interest, with the help of a machine learning protocol. The significant speedup of our approach relative to conventional quantum chemistry approach suggests a promising way of accelerating the development of real-time spectroscopy study of protein dynamics.</p> </div>

scholarly journals Assessing Material Fragility using Nanoscale Incremental Dynamic Analysis

2021 ◽  
Author(s):  
Steven Cranford
Keyword(s):  
Molecular Dynamics ◽  
Carbon Nanotube ◽  
Dynamic Analysis ◽  
Structural Engineering ◽  
Incremental Dynamic Analysis ◽  
Fragility Curve ◽  
Material Failure ◽  
Proof Of Concept ◽  
Performance Based Assessment ◽  
Stochastic Loads

A new methodology to assess material failure subjected to stochastic loads is proposed, titled Nanoscale Incremental Dynamic Analysis (NIDA), which is adopted from performance-based assessment in structural engineering. Using full atomistic molecular dynamics, proof-of-concept simulations produce the material fragility curve of a simple carbon nanotube.

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