“…For instance, Ron et al [88] outlined the on-site robotic assembly of desert habitat structures, laying the groundwork for the robotic assembly of custom modular buildings. Complementarily, Ariza et al [89] proposed an approach linking robotic assembly with the in situ 3D printing of custom connections for building components. Furthermore, Iturralde et al [90] integrated digital fabrication and robotic assembly to automate the assembly of semicustom fit-out modules, achieving automated assembly for individual spaces through digital connectivity across the design, manufacturing, and construction processes.…”
The construction industry is being profoundly reshaped by the trends of industrialization and digitalization, which, when integrated, offer greater advantages than when applied in isolation. Despite an expanding body of research, a knowledge gap persists regarding the current state and future trajectory of this integration. This study utilizes both quantitative and qualitative review methods to elucidate recent advancements in digital technologies within industrialized construction projects. An analysis of 173 scholarly articles indicates that digital technologies primarily enhance efficiency, flexibility, visualization, and intelligence. The adoption of these technologies varies across different project stages, with a notable trend towards their convergence. However, the operation stage receives significantly less attention compared to the design, production, and construction stages. This study not only identifies specific research gaps for each project stage but also provides recommendations for future research, thereby paving the way for further advancements in the field.
“…For instance, Ron et al [88] outlined the on-site robotic assembly of desert habitat structures, laying the groundwork for the robotic assembly of custom modular buildings. Complementarily, Ariza et al [89] proposed an approach linking robotic assembly with the in situ 3D printing of custom connections for building components. Furthermore, Iturralde et al [90] integrated digital fabrication and robotic assembly to automate the assembly of semicustom fit-out modules, achieving automated assembly for individual spaces through digital connectivity across the design, manufacturing, and construction processes.…”
The construction industry is being profoundly reshaped by the trends of industrialization and digitalization, which, when integrated, offer greater advantages than when applied in isolation. Despite an expanding body of research, a knowledge gap persists regarding the current state and future trajectory of this integration. This study utilizes both quantitative and qualitative review methods to elucidate recent advancements in digital technologies within industrialized construction projects. An analysis of 173 scholarly articles indicates that digital technologies primarily enhance efficiency, flexibility, visualization, and intelligence. The adoption of these technologies varies across different project stages, with a notable trend towards their convergence. However, the operation stage receives significantly less attention compared to the design, production, and construction stages. This study not only identifies specific research gaps for each project stage but also provides recommendations for future research, thereby paving the way for further advancements in the field.
“…Various deposition strategies exist for the WAAM process. The deposition techniques can be classified into continuous and discrete [9]. The discrete technique is also called point-by-point [9,10], or dot-by-dot [11,12].…”
Section: Waam Technologymentioning
confidence: 99%
“…The deposition techniques can be classified into continuous and discrete [9]. The discrete technique is also called point-by-point [9,10], or dot-by-dot [11,12]. Continuous strategies are used to produce wall-shaped or massive structures with WAAM [13].…”
Additive manufacturing is becoming increasingly important in the construction industry. Wire arc additive manufacturing (WAAM) can be integrated into the selective paste intrusion (SPI) to enable the simultaneous printing of reinforced concrete. The bond behavior of a WAAM reinforcement was investigated with pull-out tests and compared to alternative reinforcement types to analyze the stress transfer between the different components. In the first step, the surface of all the reinforcement types was recorded using a laser-based line scan measuring system. This permits the evaluation of the surface parameters, such as the surface roughness Rq, or the related rib area fR. The WAAM reinforcement showed a bond behavior in the pull-out tests that was comparable to a reinforcing steel bar. Both the bond stresses achieved, and the occurring scatter of the measurement results at the characteristic slip values were almost the same. Even without existing transverse ribs, the WAAM reinforcement reached maximum bond stresses similar to the reinforcing steel. An evaluation of the surface roughness revealed a linear relationship with the maximum bond stress achieved with a logarithmic scaling of Rq. The bond work Wτ, which is a measure of the system stiffness, showed that WAAM reinforcements and reinforcing steel bars have approximately similar behavior.
“…The boundaries between different fabrication types remain fluid and cannot be strictly defined. (a) Hubs [36], (b) Chun et al 2018 [37], (c) Dritsas et al 2017 [38], (d) Souza et al, 2018 [39], (e) Tanadini et al, 2022 [40], (f) Kladeftira et al 2021 [41], (g) Kladeftira et al, 2022 [42], (h) Bach et al, 2023 [43], (i) Ariza et al 2018[44], (j) LANIK Engineers[45], (k) MERO[46], (l) Octatube[47], (m) Niehe 2017[35], (n) AghaeiMeibodi et al, 2019 [48].…”
The geometrical variability in the joints of large-scale, doubly-curved space-frame structures can have a substantial impact on the time and cost of their construction. This paper proposes a novel framework to assess the construction complexity of space-frame structures as a factor of the geometrical variability and fabrication of their joints, to promote the informed design of the fabrication process. The k-means algorithm was used to cluster space-frame joints into fabrication batches, providing an overview of the variability distribution. A novel initialisation method was developed that allows the algorithm to adapt to project-specific inputs, substantially improving cluster compactness. Overlaying the clustering results with the properties of different fabrication processes provides an accurate estimation of the construction complexity of alternative fabrication options. The method was applied to a large-scale case study to demonstrate the benefits in practice. Alternative fabrication scenarios were assessed in the early stages of the design development, leading to the informed design of the fabrication process and hence to the efficient construction of large-scale, complex structures.
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