Small Projects Often Mean Greater Innovation

Small projects often embody more innovation than larger more costly or high profile ones.

Innovation is a wide concept that includes improvements in processes, products and services. It involves incorporating new ideas which generate changes that help solve the needs of a company and so increase its competitiveness. That’s hardly big news. But what may be surprising to some is that innovation has itself, well, innovated and it isn’t what it used to be.

New materials and energy, design approaches, as well as advances in digital technology and big data, are creating a wave of innovation within the construction industry. These new ideas are increasingly often tested and proven on smaller and agiler projects. Investing time and money is well spent on  these  ideas and technical improvements can then be used on large-scale developments.

Here are  three exciting small projects:

Vanke Pavilion - Milan Expo 2015 / Daniel Libeskind
Vanke Pavilion – Milan Expo 2015 / Daniel Libeskind
Vanke Pavilion - Milan Expo 2015 / Daniel Libeskind
Vanke Pavilion – Milan Expo 2015 / Daniel Libeskind
VANKE PAVILION Milan, Italy
VANKE PAVILION
Milan, Italy

1. Vanke Pavilion – Milan Expo 2015

The  corporate pavilion for Vanke China explores key issues related to the theme of the Expo Milano 2015, “Feeding the Planet, Energy for Life”.

Situated on the southeast edge of the Lake Arena, the 800-square meter pavilion appears to rise from the east, forming a dynamic, vertical landscape.

The original tiling pattern would have resulted in thousands of ceramic tiles of different sizes and shapes. The resulting complexity and lack of repetition could have led to high costs and a longer erection time.

Working with Architects Studio Libeskind, Format Engineers  (Engineering Designers with backgrounds in structural engineering, coding, mathematics, and architecture) changed the pattern from thousands of different tiles to less than a dozen and  simplified the  backing structure generating  huge cost savings. Format Engineers also proposed ‘slicing’ of the building and then fabrication of  the primary structure of steel ribs using  low tech flat steel plate elements.  These were then used in a series of long span portalised frames reminiscent of the ribs and spars in traditional boat building  resulting in a  column-free area for the display of Chinese Cultural Heritage.

The frame was built to a budget and without difficulty ahead of the neighboring Expo buildings.

Building Size
12 meters high
740 mq gross floor area (exhibition, service & VIP levels)
130 mq roof terrace

Architect:  Studio Libeskind

Engineer:  Format Engineers

Oxford Brookes Rain Pavilion
Oxford Brookes Rain Pavilion
Oxford Brookes Rain Pavilion
Oxford Brookes Rain Pavilion
Oxford Brookes Rain Pavilion
Oxford Brookes Rain Pavilion

2.  Oxford Brookes Rain Pavilion

The Rain Pavilion is an urban forest sculpture forming the front entrance to Oxford Brookes University’s Architecture Faculty.

“Rain Pavilion artwork is a sensory experience for the community.”

The complex form required extensive wind modeling and comprehensive structural analysis within a generative 3d model. This was allied with Format Engineers in-house code for the self-organization of voids and their subsequent redistribution.

.At each stage of the design process different modeling and analysis techniques were used to exploit the form and to optimise the structure. The considerable challenges posed by the slenderness of the structure and its dynamic behavior under wind were resolved by combining Computational Fluid Dynamics (CFD)  (a branch of  fluid mechanics  that uses numerical analysis and algorithms to solve and analyze problems that involve  fluid  flows) with a generative design environment. Conceptual design introduced the ideas of tubular stems and folded steel canopies, both of which were  perforated by circular holes arranged to allow the interplay of light and water through the structure. The voids were generated using a self-organizing process.

Grasshopper  (a graphical algorithm computer 3-D modeling tool)  was used  to produce a mesh that could include the voids in both the stems and the petals.

The Rain Pavilion is designed to celebrate the sound of rain, and the noise of water interacting with different sections of the installation is part of the experience of passing through it. The structure has a design life of five years and can  be transported to other locations.

Architect:  Oxford Brookes University, Oxford, UK

Engineer:  Format Engineers

KREOD Pavilion
KREOD Pavilion
KREOD Pavilion
KREOD Pavilion
KREOD Pavilion
KREOD Pavilion

3.  KREOD Pavilion

The KREOD pavilions were first erected on the London Greenwich Olympic site in 2012.  Easily rearranged, three pod-like pavilions were formed with a wooden structural framework comprised of an open hexagonal composition.

Standing three meters tall, each double-curved wooden shell enclosed a footprint of 20 square meters,  totaling 60 square meters. A  waterproof tensile membrane sealed the interior from the elements fully portable with demountable joints,  the individual components can be  stacked for efficient transportation.

Chun Qing Li the architect required a temporary exhibition or function space that could be erected and demounted mostly by hand and by untrained staff. The quality of finish needed to  echo that of handmade furniture and had to be low cost and quick to erect. The continuously changing double curved form of the enclosure meant that in theory, every nodal connection was  different. A conventional bolted solution would have cost hundreds of pounds per fixing. Format Engineers  suggestion of a ‘reciprocal’ jointed timber grid shell required standard  bolts which equated to a fraction of the normal cost. It also allowed the structure to be built from simple and light flat timber elements.

The structure used Kebony timber throughout, a sustainable alternative to tropical hardwood. As this material had not previously been used in a structural context Format Engineers undertook load testing of the material and the connections at the University of Cambridge. The timber was fabricated using CNC routing (a computer controlled cutting machine)  allowing a highly accurate fit between members and basic  erection on site.

Architect:  Chun Qing Li  

Engineer:  Format Engineers

 

Playing God: Swedish Train operator uses Big Data to ‘avoid train delays that haven’t happened yet’

In a sign of things to come, a Swedish train operator is using new technology that employs big data to predict the entire commuter train system two hours into the future.

Welcome to the world of “Big Data.” We have more information at our fingertips than any generation in history. We live in the world of “Big Data.” That is the new way people are trying to describe this sea of digital facts, figures, products, books, music, video, and much more. Twitter, apps, Facebook–they’re each giving science new ways to look at what people do and why.

“Hopes, fears, and ethical concerns relating to technology are as old as technology itself.”

We actually welcome some aspect of Big Data. These mysterious data successes (or accidental successes) are easy to see as a kind of Big Brother future, where technology can track your every move and report back to ”¦ someone. However, StockholmstÃ¥g, the train operator is using new technology that employs big data to predict train delays before they happen.

“The Commuter Prognosis –  A Social Scientist’s Dream Come True.”

The mathematic algorithm, called “The commuter prognosis” was  developed in Stockholm, Sweden.

When a train is not on time the algorithm forecasts disruptions in the entire network by using historic big data  to  prevent the ripple effects that actually causes most delays.
Wilhelm Landerholm the mathematician who has developed the algorithm said:

“We have built a prediction model, using big data, that lets us visualize the entire commuter train system two hours into the future. We can now forecast disruptions in our service and our traffic control center can prevent the ripple effects that actually cause most delays.”

The algorithm has been tested but is not currently being  used by traffic controllers.

How  does it work?

The key to the model is a large  amount of historical data. The model works similar to a seismograph, an instrument that measures and records details of earthquakes, such as force and duration, but instead identifies late train arrivals. When this happens, the system  uses historical data from previous occurrences to forecast the likely  impact on the entire train network.

Real-time public transportation information is already used around the globe, however, traffic control centers still typically assess  delays manually to try and prevent further problems in a network. The commuter prognosis system, on the other hand, will forecast these delay effects instantaneously  and provide a prediction of how a single or multiple  disturbance might  affect  the whole  train network. The  commuter prognosis system could change how traffic control centers operate all over the world.

“The Effects of One Delayed Train Can Quickly Multiply Within a Train Network”

Imagine that “The commuter prognosis” forecasts that a train will be 10 minutes late to station C in two hours. To deal with this the traffic control center issues a new train from station A that will arrive on time at station C. As soon as the new train has been put in motion the algorithm re-calculates and gives the traffic control center a new forecast for the entire train network within minutes.”

The most important benefit of “The commuter prognosis” is that it  provides for a more punctual public transportation.

“The commuter prognosis” will be available in a smartphone app based on the original model. The app will integrate with other transportation big data to make commuting easier and  will indicate which coaches are more or less crowded.

Big Data, Ethics, and Religion

These stories remind us that even though companies and governments are doing amazing things with data, it’s at best imperfect. The algorithms and programs they use to filter and respond to data are at least as fallible as the human beings who designed them.  We can also see its complexity and failures as evidence of the amazing omnipotence of our God – who doesn’t make errors and who knows right where to find us, even inside a great fish or the depths of hell.

The arrival of big data has already brought with it numerous questions that have yet to be properly addressed. These questions are methodological, epistemological, and ethical, and they concern (inter alia) the ways in which data is collected, stored, interpreted, represented, and traded.  A further complication is a speed with which data science is advancing, which means that (for example) the application of legal and ethical restrictions to the practice of that science will always risk being several steps behind the point that it has currently reached. There are indications that we are currently sleepwalking towards a situation in which the commercial exploitation of big data routinely increases social division, and renders privacy a thing of the past.

Ket factors

  • A mathematical model interprets big data to forecasts for each train in the train network.
  • The commuter prognosis can warn about delays two hours before the departure or arrival actually takes place.
  • The commuter prognosis calculates how the delay affects other trains in the system.
  • The purpose of “the commuter prognosis” is to make life easier for traffic control centers and to give passengers  a better service.
  • In the future, the algorithm will be potentially adaptable for more types of public transportations and cities.

 

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