On the public citation graph

Automated structural design of industrial plants: a holistic approach from GAN-assisted layout generation to early-stage cost estimation

https://doi.org/10.2139/ssrn.5800038
0 signed · 28 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/eqe.3632openalex-extracted
Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks
inferredcites →https://doi.org/10.1007/s00158-022-03369-9openalex-extracted
A survey of machine learning techniques in structural and multidisciplinary optimization
inferredcites →https://doi.org/10.1007/s41062-025-01975-2openalex-extracted
3D generative early-stage building design from 2D images: integration of multimodal data with GAN (3DMM-GAN)
inferredcites →https://doi.org/10.1016/j.autcon.2018.01.013openalex-extracted
Automated optimization of steel reinforcement in RC building frames using building information modeling and hybrid genetic algorithm
inferredcites →https://doi.org/10.1016/j.autcon.2019.102936openalex-extracted
Automatic structural design by a set-based parametric design method
inferredcites →https://doi.org/10.1016/j.autcon.2019.102943openalex-extracted
Automated planning of concrete joint layouts with 4D-BIM
inferredcites →https://doi.org/10.1016/j.autcon.2019.103066openalex-extracted
Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS
inferredcites →https://doi.org/10.1016/j.autcon.2020.103252openalex-extracted
Implementing data-driven parametric building design with a flexible toolbox
inferredcites →https://doi.org/10.1016/j.autcon.2021.103931openalex-extracted
Automated structural design of shear wall residential buildings using generative adversarial networks
inferredcites →https://doi.org/10.1016/j.autcon.2024.105903openalex-extracted
Ensemble learning framework for forecasting construction costs
inferredcites →https://doi.org/10.1016/j.compstruc.2020.106456openalex-extracted
A framework to automate the design of digitally-fabricated timber plate structures
inferredcites →https://doi.org/10.1016/j.engstruct.2021.112311openalex-extracted
Use of convolutional networks in the conceptual structural design of shear wall buildings layout
inferredcites →https://doi.org/10.1016/j.engstruct.2022.114808openalex-extracted
Machine learning-aided multi-objective optimization of structures with hybrid braces – Framework and case study
inferredcites →https://doi.org/10.1016/j.engstruct.2022.115170openalex-extracted
Intelligent design of shear wall layout based on attention-enhanced generative adversarial network
inferredcites →https://doi.org/10.1016/j.istruc.2019.06.017openalex-extracted
Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls
inferredcites →https://doi.org/10.1016/j.istruc.2022.02.003openalex-extracted
Machine learning for structural engineering: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.jobe.2017.10.010openalex-extracted
An analytical method to estimate the total installed cost of structural steel building frames during early design
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001840openalex-extracted
Web-Based Tool for Interoperability among Structural Analysis Applications
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0002346openalex-extracted
TableGraph: An Image Segmentation–Based Table Knowledge Interpretation Model for Civil and Construction Inspection Documentation
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000893openalex-extracted
Implementation and Evaluation of Generative Layout Options Using the Graph Theoretical Approach for a Hospital Layout Problem
inferredcites →https://doi.org/10.1080/01446193.2024.2431280openalex-extracted
Development of a prefabricated construction productivity estimation model through BIM and data augmentation processes
inferredcites →https://doi.org/10.1177/13694332221127340openalex-extracted
Typical advances of artificial intelligence in civil engineering
inferredcites →https://doi.org/10.17159/2309-8775/2021/v63n3a3openalex-extracted
A parametric design process model for box culverts
inferredcites →https://doi.org/10.3390/buildings12040451openalex-extracted
Towards Automated Structural Stability Design of Buildings—A BIM-Based Solution
inferredcites →https://doi.org/10.3390/sym12101705openalex-extracted
Deep Generative Adversarial Networks for Image-to-Image Translation: A Review
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1115/1.4053859openalex-snapshot
Deep Generative Models in Engineering Design: A Review

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.3390/su18094424openalex-snapshot
Generative AI-Driven Design Method of Planar Inclined Shear Wall Components for Building Structures
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.