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Civil Engineering Information

Damp Proof Course (DPC)

Introduction
Damp Proof Course or DPC is the protective layer applied to prevent the rising of moisture to the walls from the ground due to capillary action. It is usually 2.5 cm thick with a ratio of rich cement concrete 1:1.5:3 or 2 cm thick with cement mortar 1:2 mixed with standard waterproofing material. It is provided from the plinth level to the entire width of the plinth wall, and the quantities are calculated in square meters (length x breadth). Usually, DPC is not provided at the sills of doors and verandah openings, for which deductions are made. In most cases, 1 kg of cem-seal, Impermo, or another definitive waterproofing compound is used per bag of cement.

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The Use of Aluminium in Construction

Aluminum is commonly employed in construction because of its inherent advantages of lightness and corrosion resistance. Since 1886, aluminum has been utilized extensively as an industrial metal. The present smelting method was invented at this time. When compared to metals like lead, copper, and bronze, which have been used for thousands of years, this suggests the metal has been available for a shorter time.

This material is frequently utilized as a substitute for steel in situations where its unique qualities are critical and worth paying for. Their unique characteristics are their lightweight and sparkling appearance. Aluminum usage in the globe is estimated to be in the range of 20 million tonnes per year. Aluminum is utilized in a variety of applications, including external facades, roofs and walls, windows and doors, stairwells, railings, and shelves, among others.

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Types of Building Construction

Introduction
Construction is usually used to refer to any project in the field. Building a road, for example, is a type of construction. On the other hand, building typically refers to the construction of a structure such as a home or business. The same concept can be applied to the process’s output. The construction of a team could range from a skyscraper to a parking lot.

On the other hand, a building is almost always a closed structure with walls and a roof. Furthermore, many engineers will use the term construction to refer to the entire project, from design to completion. Building refers only to the phase of actually erecting the structure in this framework.

In short, construction is typically a broader term than building. Drafting, measurement, and other tools used in the overall project are examples of construction tools. While basic construction tools are essentially the same, more advanced items may cover a broader range of tasks.

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Remote Sensing Application In Civil Engineering

GIS and remote sensing techniques have become essential and powerful tools for tackling civil engineering problems. Remote sensing data frequently correlates spatial data with their properties, making it beneficial in this discipline. Remote sensing can be used to extract several themes such as geology, terrain, drainage, and hydrology. Integrating the following topics aids in the speedier resolution of civil engineering challenges. Sanitation, urban growth, new road alignment, and irrigation project design are all areas where remote sensing technology is commonly used. GIS and remote sensing data are commonly used to construct models that integrate socioeconomic, demographic, and natural resource information.
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Use of Artificial Intelligence (AI) in Civil Engineering

What is AI:
It is the art and science of creating intelligent machines, particularly intelligent computer programmes. It resembles the task of using computers to understand human intelligence. Basically, Artificial Intelligence refers to the intelligence displayed by machines. Artificial Intelligence (AI) has grown extremely prevalent in today’s world. It is the simulation of human intelligence in computers that have been programmed to learn and mimic human actions. These machines can learn from their mistakes and do activities that are similar to those performed by humans.

AI in Civil Engineering:
Deep learning technologies have been effectively employed in a variety of industries for many years, including civil engineering. Indeed, with the emergence of complex constructions such as skyscrapers, machine learning techniques grabbed centre stage in the sector a long time ago. We are seeing the application and growth of AI in the construction industry more than ever before, with intelligent algorithms, big data, and deep learning machines transforming productivity performance.

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