Papers by Carmo Cardoso
In the past, there has been a rapid evolution in computational tools to represent and analyze arc... more In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design's performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process. 29 ACADIA 2017 | DISCIPLINES + DISRUPTION
Estimating a building's performance is part of the engineering and architecture discipline. Nowad... more Estimating a building's performance is part of the engineering and architecture discipline. Nowadays, this estimation is done using analysis tools. In many cases, these analysis tools require specialized building models that are simplifications of the actual models. Unfortunately , the adaptations that need to be done to an existing model are tiresome and make the architect less willing to evaluate variations of the building design. Moreover, in the case of buildings with complex shapes, the analyses tend to be less reliable. These problems also occur when algorithmic approaches are used to generate the building design, as the algorithmic script needs to be adapted to satisfy the requirements of the analysis tool, or the manual adaptation of the generated model needs to be repeated each time the script is executed. To solve these issues we propose Algorithmic-Based Analysis. This is a Generative Design method that, utilizing a single algorithmic-based representation of a building, can generate not only the traditional CAD or BIM model, but also specialized models for use in different kinds of analysis.
Thesis Chapters by Carmo Cardoso
Architecture, since its inception, has been through a constant process of diversifying its means ... more Architecture, since its inception, has been through a constant process of diversifying its means of representation,
which deeply impacts how designers view the discipline and manage the design process. The notion that, in
Architecture, form should follow function, has been one of the core principles introduced in the 20th century.
Rejecting ornaments that do not benefit the construction in any way is part of a broader pragmatic approach to
building forms. Beauty and aesthetics were no longer the prime concern of architects, and notions such as thermal
comfort and harnessing daylight became increasingly important.
With expanding computational power and the development of analysis software, complex mathematical formu
las, based on physics principles, are embedded into the software and can be easily applied to models of buildings.
This allows for the creation of optimization workflows that not only test the efficiency of a completed building,
but can aid in defining the optimal design solution. Thus, this brings on a shift from form making to form finding.
Using computational tools provide an ample range of solutions that can be easily changed and tested for efficiency,
while a manual approach would take considerable added amounts of effort and time, even sacrificing accuracy.
These tools favour the creation of multiple models, facilitating the process of seeking the best characteristics that
amount to a better performing building in a particular environment.
This thesis intends to develop a combination of parametric design, analysis tools and optimization algorithms
in order to find an optimal design solution, based on a specific architectural design as a conceptual basis. That is
to say, an initial design will be shaped according to variables that impact building performance the most. Without
jeopardizing the design intent, it is possible to reach a novel and contemporary version of the form follows function
principle: form follows performance.
Conference Presentations by Carmo Cardoso
Heliotropic Nature's is a research project that focuses on designing new methods of cultivation, ... more Heliotropic Nature's is a research project that focuses on designing new methods of cultivation, inspired by tropisms in plants and activated by urban community engagement. The design aim is to enhance the growing capacities in densely populated cities with high levels of pollution to suggest new ways to improve the growth capacity. This approach discusses two design aspects, the physical bed design and a design for digital applications. The social aim is developed digitally, and connects the aspects of care of the garden beds to a community which is in support urban agriculture. These topics explore the larger issue of urban relationships with agriculture in the city and suggest new means of engagement and optimizing growth as a way of instantiating a relationship with food supply.
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Papers by Carmo Cardoso
Thesis Chapters by Carmo Cardoso
which deeply impacts how designers view the discipline and manage the design process. The notion that, in
Architecture, form should follow function, has been one of the core principles introduced in the 20th century.
Rejecting ornaments that do not benefit the construction in any way is part of a broader pragmatic approach to
building forms. Beauty and aesthetics were no longer the prime concern of architects, and notions such as thermal
comfort and harnessing daylight became increasingly important.
With expanding computational power and the development of analysis software, complex mathematical formu
las, based on physics principles, are embedded into the software and can be easily applied to models of buildings.
This allows for the creation of optimization workflows that not only test the efficiency of a completed building,
but can aid in defining the optimal design solution. Thus, this brings on a shift from form making to form finding.
Using computational tools provide an ample range of solutions that can be easily changed and tested for efficiency,
while a manual approach would take considerable added amounts of effort and time, even sacrificing accuracy.
These tools favour the creation of multiple models, facilitating the process of seeking the best characteristics that
amount to a better performing building in a particular environment.
This thesis intends to develop a combination of parametric design, analysis tools and optimization algorithms
in order to find an optimal design solution, based on a specific architectural design as a conceptual basis. That is
to say, an initial design will be shaped according to variables that impact building performance the most. Without
jeopardizing the design intent, it is possible to reach a novel and contemporary version of the form follows function
principle: form follows performance.
Conference Presentations by Carmo Cardoso
which deeply impacts how designers view the discipline and manage the design process. The notion that, in
Architecture, form should follow function, has been one of the core principles introduced in the 20th century.
Rejecting ornaments that do not benefit the construction in any way is part of a broader pragmatic approach to
building forms. Beauty and aesthetics were no longer the prime concern of architects, and notions such as thermal
comfort and harnessing daylight became increasingly important.
With expanding computational power and the development of analysis software, complex mathematical formu
las, based on physics principles, are embedded into the software and can be easily applied to models of buildings.
This allows for the creation of optimization workflows that not only test the efficiency of a completed building,
but can aid in defining the optimal design solution. Thus, this brings on a shift from form making to form finding.
Using computational tools provide an ample range of solutions that can be easily changed and tested for efficiency,
while a manual approach would take considerable added amounts of effort and time, even sacrificing accuracy.
These tools favour the creation of multiple models, facilitating the process of seeking the best characteristics that
amount to a better performing building in a particular environment.
This thesis intends to develop a combination of parametric design, analysis tools and optimization algorithms
in order to find an optimal design solution, based on a specific architectural design as a conceptual basis. That is
to say, an initial design will be shaped according to variables that impact building performance the most. Without
jeopardizing the design intent, it is possible to reach a novel and contemporary version of the form follows function
principle: form follows performance.