Integration of Data Flows of the Construction Project Life Cycle to Create a Digital Enterprise Based on Building Information Modeling

This study is devoted to the problem of digital transformation in the construction industry. To solve the proposed emerging approach for integrating information flows based on Building information modeling (BIM). This research describes the advanced methodology for creating a unified information model in construction, which combines architectural, design, engineering, cost and depreciation models of a construction object, raises a number of problems of reorganizing business processes at enterprises. The novelty of the research lies in the model of adapted common data environment based on life cycle of a construction project by stages of implementation and emergence of information. The proposed architecture is a platform for intelligent parametric modeling as intelligent CAD, which allows linking all elements of the model "Digital Enterprise".The result of the study is a conceptual mechanism for improving the efficiency of enterprise management processes based on the architectural approach in terms of digitalization of construction. Emerging technology in the study is the architecture of the intelligent decision support system in construction based on 5D BIMtechnology and Digital Enterprise. The main advantage of the proposed approach is the possibility of multiple reuse of information by all participants in the development and implementation of an investment and construction project without changes and distortions of data about the construction object. Keywords — Building Information Modeling, BIM, Digital Enterprise, Common Data Environment, life cycle of construction project, digitalization of construction

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Based on expert system theory and fluid–structure interaction (FSI), this paper suggests an intelligent design optimization system to derive the optimal shape of both the fluid and solid domain of flow channels. A parametric modeling scheme of flow channels is developed by design for additive manufacturing (DfAM). By changing design parameters, a series of flow channel models can be obtained. According to the design characteristics, the system can intelligently allocate suitable computational models to compute the flow field of a specific model. The pressure-based normal stress is abstracted from the results and transmitted to the solid region by the fluid–structure (FS) interface to analyze the strength of the structure. The design space is obtained by investigating the simulation results with the metamodeling method, which is further applied for pursuing design objectives under constraints. Finally, the improved design is derived by gradient-based optimization. This system can improve the accuracy of the FSI simulation and the efficiency of the optimization process. The design optimization of a flow channel in a simplified hydraulic manifold is applied as the case study to validate the feasibility of the proposed system.

Flexible, non-parametric modeling using regularized neural networks

Non-parametric, additive models are able to capture complex data dependencies in a flexible, yet interpretable way. However, choosing the format of the additive components often requires non-trivial data exploration. Here, as an alternative, we propose PrAda-net, a one-hidden-layer neural network, trained with proximal gradient descent and adaptive lasso. PrAda-net automatically adjusts the size and architecture of the neural network to reflect the complexity and structure of the data. The compact network obtained by PrAda-net can be translated to additive model components, making it suitable for non-parametric statistical modelling with automatic model selection. We demonstrate PrAda-net on simulated data, where we compare the test error performance, variable importance and variable subset identification properties of PrAda-net to other lasso-based regularization approaches for neural networks. We also apply PrAda-net to the massive U.K. black smoke data set, to demonstrate how PrAda-net can be used to model complex and heterogeneous data with spatial and temporal components. In contrast to classical, statistical non-parametric approaches, PrAda-net requires no preliminary modeling to select the functional forms of the additive components, yet still results in an interpretable model representation.

The New Boundaries of 3D-Printed Clay Bricks Design: Printability of Complex Internal Geometries

The building construction sector is undergoing one of the most profound transformations towards the digital transition of production. In recent decades, the advent of a novel technology for the 3D printing of clay opened up new sustainable possibilities in construction. Some architectural applications of 3D-printed clay bricks with simple internal configurations are being developed around the world. On the other hand, the full potential of 3D-printed bricks for building production is still unknown. Scientific studies about the design and printability of 3D-printed bricks exploiting complex internal geometries are completely missing in the related literature. This paper explores the new boundaries of 3D-printed clay bricks realized with a sustainable extrusion-based 3D clay printing process by proposing a novel conception, design, and analysis. In particular, the proposed methodological approach includes: (i) conception and design; (ii) parametric modeling; (iii) simulation of printability; and (iv) prototyping. The new design and conception aim to fully exploit the potential of 3D printing to realize complex internal geometry in a 3D-printed brick. To this aim, the research investigates the printability of internal configuration generated by using geometries with well-known remarkable mechanical properties, such as periodic minimal surfaces. In conclusion, the results are validated by a wide prototyping campaign.

Research on Structural Design and Parametric Modeling of Trestle of Material Ropeway of Transmission Line

Aiming at the trestle of material ropeway of transmission line, the structural design of components was carried out with the combination of 3D design software. Parametric modeling method was adopted to carry out the modeling of components with different structural parameters. The stress status of components of trestle was analyzed, the design load of components was proposed, and the strength of the designed components was checked through finite element simulation analysis. The results show that the components can meet the requirements of structural strength. The proposed method can realize parametric modeling of solid model and effectively improve the design efficiency of material ropeway.

SUBSTANTIATION OF DESIGN DECISIONS OF ELEMENTS OF MILITARY OBJECTS IN CONDITIONS OF CONTACT AND PLASTIC DEFORMATION

New design solutions, technologies and materials are required to improve tactical and technical characteristics of military equipment. Often this implies operation in such conditions as contact interaction and elasto-plastic deformations of materials. New models and research methods are developed for better utilization of modern materials and improved performance of military equipment. They account directly for complex physical and structural nonlinearities. The properties of conventional and novel materials are determined both in bulk and on surfaces at microstructural level. This will enable physically adequate and mathematically correct analysis of stress-strain state. The new advanced design solutions will emerge through the objective-driven search by means of parametric modeling. The project will extend traditional local problem statements with newly developed variational principles that account for structural and physical nonlinearity and are suitable for parameterization. This will create the basis for fundamental analysis of torsion bar suspensions, hydrovolumetric and gear drives and other crucial components of combat vehicles, engineering solutions for domestic manufacturers of military equipment that will bring their tactical and technical characteristics to highest modern standards. Keywords: contact interaction; stress-strain state; intermediate layer; contact pressure; contact area; plastic deformation

Use of Innovative Tools and Techniques for Heritage Preservation in the Digital Era: Academic Research on Asaf Khan’s Tomb in Lahore

In today’s digital era, as resources diminish and globalization provokes more regimented situations, innovative technologies such as parametric modeling, Building Information Modelling, 3D printing, and 3D scanners present dynamic answers for conserving and preserving traditional buildings. The main aim of this research is to explore digital technologies and tools to indicate how they can be of assistance in heritage preservation. Moreover, it also aims to identify the techniques that can make this laborious process more efficient and precise. All around the world, heritage sites are brought to life with the help of augmented models. This research highlights the digital methodology, tools, and techniques not fully explored due to limited funding and opportunities but present here as the evolving concept in the field of heritage conservation. It is more about the examination and investigation of the preservation process with the help of digital technology. It also explores the extent of possibilities and opportunities these digital tools can provide. Digital techniques and tools are extensively used within the traditional heritage internationally. However, Pakistan is still lagging behind in this domain. This study reconnoiters the impending uses of digital techniques in preserving architectural heritage and highlights how simple usage of these instruments can make the whole process more efficient and convenient. The outcomes specify that these tools provide many advantages over the traditional methods of conservation and have proved to be more useful and accurate. The application of photogrammetry to create models of old structures is also discussed. Moreover, the creative use of these tools to develop cordiality to original structures without replacing or damaging them is explored. This paper examines the application of these cutting-edge technologies for the preservation of architectural heritage in Pakistan with specific reference to a Mughal era structure in Lahore, that is, Asaf Khan’s Tomb. Despite the rich architectural heritage of Lahore, there is no proper conservation methodology currently practiced to preserve it. The above mentioned structure was surveyed, documented and the then-current situation was modeled using different softwares including Building Information Modeling in Revit. For the climatic and solar analysis of the structure, Ladybug which is a Rhino plug-in was explored and Microsoft Form it was used for the detailed solar energy analysis. Keywords: building information modeling, digital tools and technology, heritage conservation, photogrammetry

Research and Development of Parametric Design Platform for Series Complex Cutting Tools

Metal cutting tool is an important part of machining, and its performance directly affects the manufacturing efficiency and machining quality of products. With the increasing demands in manufacturing industry of cutting performance, machining efficiency, customization and quick response, traditional tool design methods can no longer meet the above requirements due to many repetitive work, large amount of calculation, complex process and low efficiency. Parametric design has become a new development direction of customized tool design because of its fast, stable and accurate characteristics. In this paper, the parametric design of cutting tools is realized based on the process construction method of model generating history. The tool parametric design platform is developed by the method of secondary development of commercial CAD software. The platform realizes automatic operation in the background without the main interface of CAD software, completes the parametric modeling process of tools, generates 2D drawings and 3D models conforming to ISO 13399 standard, and realizes the cloud storage function of model data. The platform has simple operation and good man-machine interaction, and realizes the parametric design of many kinds of tools. Compare with that traditional modeling method, using this parametric modeling platform, the modeling efficiency is increased by 90% on average. This platform is of great significance to improve the design efficiency of complex customized tools and shorten the original design cycle by 30%.