Slab

class buildings_analytics.analyzer.Slab(span=8, prefab=False, fire=None, vibration=None, woc=None, material=None, continuous=False, MEP_integration=False, use='residential')[source]

Bases: object

Initialises the Slab object to be analysed.

Parameters

  • span (float) – user requirement on the span

  • prefab (bool) – user requirement on the type of slab.

  • fire (int) – user requirement on the fire resistance in minutes.

  • vibration (bool) – user requirement on the vibration performance. [WIP]

  • woc (str) – user requirement on the support conditions. It can be one way slab or two way slab

  • material (str) – user requirement on the material to be used. it can be concrete, steel, timber.

  • continuous (str) – user requirement on the connection among the slab bays

  • MEP_integration (bool) – user requirement on the need to integrate MEP within the slab structure.

  • use (str) – user requirement on the final use of the slab. It can be residential or office

Attributes

  • span (float) – user requirement on the span

  • prefab (bool) – user requirement on the type of slab.

  • fire (int) – user requirement on the fire resistance in minutes.

  • vibration (bool) – user requirement on the vibration performance. [WIP]

  • woc (str) – user requirement on the support conditions. It can be one way slab or two way slab

  • material (str) – user requirement on the material to be used. it can be concrete, steel, timber.

  • continuous (str) – user requirement on the connection among the slab bays

  • MEP_integration (bool) – user requirement on the need to integrate MEP within the slab structure.

  • use (str) – user requirement on the final use of the slab. It can be residential or office

  • filtered_spider (df) – pandas dataframe containing the data to plot the soft-quantities comparison.

Methods Summary

compute_energy([plot, output])

Computes the embodied energy per square meter for the several slabs technologies using the suggested slabs thickness.

compute_weight([plot, output])

Computes the average weight per square meter for the several slabs technologies using the suggested slabs thickness.

manual_inputs([introduction])

Guides the user through setting the Slab requirements.

suggest([output, plot])

Filter the slabs database to suggest the best applicaiton according to the user’s requirements.

Methods Documentation

compute_energy(plot=True, output=True)[source]

Computes the embodied energy per square meter for the several slabs technologies using the suggested slabs thickness.

Parameters

  • output (bool) – sets if an output is printed in the command line or not

  • plot (bool) – sets if plots are generated or not

Returns

df_energy (Dataframe) – pandas Dataframe object containing an estimate of the embodied per square meter.

compute_weight(plot=True, output=True)[source]

Computes the average weight per square meter for the several slabs technologies using the suggested slabs thickness.

Parameters

  • output (bool) – sets if an output is printed in the command line or not

  • plot (bool) – sets if plots are generated or not

Returns

df_weight (Dataframe) – pandas Dataframe object containing an estimate of the mass per square meter.

manual_inputs(introduction=True)[source]

Guides the user through setting the Slab requirements.

Parameters

None

Returns

None

suggest(output=False, plot=True)[source]

Filter the slabs database to suggest the best applicaiton according to the user’s requirements. Print a diagram containing the applicable slabs

Parameters

  • output (bool) – sets if an output is printed in the command line or not

  • plot (bool) – sets if plots are generated or not

Returns

  • df_thickness (Dataframe) – pandas Dataframe object containing the suggested slabs thickness.

  • df_spider (Dataframe) – pandas Dataframe object containing the slabs data filtered.

  • df_span (Dataframe) – pandas Dataframe object containing the sugested slab span.